Image-Text-to-Text
Transformers
Safetensors
English
qwen3_5
chart
infographic
scene-graph
image2scenegraph
conversational
Instructions to use ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph") model = AutoModelForMultimodalLM.from_pretrained("ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph
- SGLang
How to use ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph with Docker Model Runner:
docker model run hf.co/ChartGalaxyPP/ChartGalaxyPlusPlus-Image2SceneGraph
Release complete ChartGalaxy++ model
Browse files- .gitattributes +1 -34
- INFERENCE.md +83 -0
- LICENSE +158 -0
- LICENSE-QWEN-APACHE-2.0 +202 -0
- NOTICE.md +9 -0
- OUTPUT_FORMAT.md +27 -0
- README.md +57 -0
- SHA256SUMS +22 -0
- chat_template.jinja +154 -0
- config.json +110 -0
- inference_spec.json +39 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +745 -0
- preprocessor_config.json +21 -0
- processor_config.json +60 -0
- release_metadata.json +1 -0
- requirements-smoke.txt +182 -0
- smoke/prediction.json +2450 -0
- smoke/prediction.raw.txt +1 -0
- smoke/validation.json +38 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
CHANGED
|
@@ -1,35 +1,2 @@
|
|
| 1 |
-
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
-
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
-
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
-
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
-
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
-
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
-
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
-
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
-
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
-
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
-
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
-
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
-
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
-
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
-
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
-
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
-
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
-
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
-
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
-
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
-
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
-
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
-
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
-
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
-
|
| 27 |
-
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
-
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
-
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
-
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
-
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
-
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
-
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
-
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
-
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
INFERENCE.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Local inference
|
| 2 |
+
|
| 3 |
+
The standalone example below was run on one NVIDIA RTX PRO 6000 Blackwell Server GPU using Python 3.11.14, vLLM 0.20.2, Transformers 5.12.1, PyTorch 2.11.0 / CUDA 13.0, and xgrammar 0.1.32. The environment passed dependency consistency checking. [requirements-smoke.txt](requirements-smoke.txt) records the exact Linux environment; the original producer did not supply a complete dependency lockfile.
|
| 4 |
+
|
| 5 |
+
Create a fresh Python 3.11 environment and install `pip install -r requirements-smoke.txt`. Use a compatible CUDA driver. Transformers 4.x does not load this exported processor correctly; pinning only vLLM can resolve to that older version. The xgrammar pin keeps the dependency set compatible with vLLM and Transformers. See [the smoke receipt](smoke/validation.json) and [saved output](smoke/prediction.json). This single-image check validates loading, generation, and output structure, and does not rerun paper accuracy measurements.
|
| 6 |
+
|
| 7 |
+
Keep both weight shards, their index, tokenizer, processor, and chat template in the same model directory. `inference_spec.json` contains the exact prompts and generation settings extracted from the supplied single-image runner.
|
| 8 |
+
|
| 9 |
+
The following usage snippet performs one request on one visible GPU and saves the raw response before strict JSON parsing. Set `model_dir` and `image_path` to your local files. It is usage documentation, not the paper's evaluation pipeline.
|
| 10 |
+
|
| 11 |
+
```python
|
| 12 |
+
import json
|
| 13 |
+
import os
|
| 14 |
+
from pathlib import Path
|
| 15 |
+
|
| 16 |
+
def main():
|
| 17 |
+
model_dir = Path("./image2json-model").resolve()
|
| 18 |
+
image_path = Path("./example.png")
|
| 19 |
+
spec = json.loads((model_dir / "inference_spec.json").read_text())
|
| 20 |
+
for key, value in spec["environment"].items():
|
| 21 |
+
os.environ[key] = value
|
| 22 |
+
|
| 23 |
+
from PIL import Image
|
| 24 |
+
from vllm import LLM, SamplingParams
|
| 25 |
+
|
| 26 |
+
llm = LLM(
|
| 27 |
+
model=str(model_dir), tokenizer=str(model_dir),
|
| 28 |
+
trust_remote_code=False, dtype=spec["dtype"],
|
| 29 |
+
tensor_parallel_size=spec["tensor_parallel_size"],
|
| 30 |
+
max_model_len=spec["max_model_len"], max_num_seqs=1,
|
| 31 |
+
disable_log_stats=False,
|
| 32 |
+
gpu_memory_utilization=spec["gpu_memory_utilization"],
|
| 33 |
+
limit_mm_per_prompt={"image": 1, "video": 0},
|
| 34 |
+
mm_processor_kwargs={"max_pixels": spec["max_pixels"]},
|
| 35 |
+
seed=spec["seed"], gdn_prefill_backend=spec["gdn_prefill_backend"],
|
| 36 |
+
compilation_config=spec["compilation_config"],
|
| 37 |
+
)
|
| 38 |
+
messages = [
|
| 39 |
+
{"role": "system", "content": spec["system_prompt"]},
|
| 40 |
+
{"role": "user", "content": [
|
| 41 |
+
{"type": "image", "image": "<image>"},
|
| 42 |
+
{"type": "text", "text": spec["user_prompt"]},
|
| 43 |
+
]},
|
| 44 |
+
]
|
| 45 |
+
prompt = llm.get_tokenizer().apply_chat_template(
|
| 46 |
+
messages, tokenize=False, add_generation_prompt=True,
|
| 47 |
+
enable_thinking=spec["enable_thinking"],
|
| 48 |
+
)
|
| 49 |
+
sampling = SamplingParams(
|
| 50 |
+
temperature=spec["temperature"], top_p=spec["top_p"], top_k=spec["top_k"],
|
| 51 |
+
max_tokens=spec["max_new_tokens"], seed=spec["seed"],
|
| 52 |
+
repetition_penalty=spec["repetition_penalty"],
|
| 53 |
+
frequency_penalty=spec["frequency_penalty"],
|
| 54 |
+
)
|
| 55 |
+
with Image.open(image_path) as source:
|
| 56 |
+
image = source.convert("RGB")
|
| 57 |
+
try:
|
| 58 |
+
result = llm.generate([{
|
| 59 |
+
"prompt": prompt,
|
| 60 |
+
"multi_modal_data": {"image": image},
|
| 61 |
+
"mm_processor_kwargs": {"max_pixels": spec["max_pixels"]},
|
| 62 |
+
}], sampling, use_tqdm=False)[0].outputs[0]
|
| 63 |
+
finally:
|
| 64 |
+
image.close()
|
| 65 |
+
|
| 66 |
+
Path("prediction.raw.txt").write_text(result.text, encoding="utf-8")
|
| 67 |
+
Path("prediction.status.json").write_text(json.dumps({
|
| 68 |
+
"finish_reason": result.finish_reason,
|
| 69 |
+
"output_tokens": len(result.token_ids),
|
| 70 |
+
}, indent=2), encoding="utf-8")
|
| 71 |
+
prediction = json.loads(result.text)
|
| 72 |
+
Path("prediction.json").write_text(
|
| 73 |
+
json.dumps(prediction, ensure_ascii=False, indent=2), encoding="utf-8",
|
| 74 |
+
)
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
if __name__ == "__main__":
|
| 78 |
+
main()
|
| 79 |
+
```
|
| 80 |
+
|
| 81 |
+
The native output uses `[x0, y0, x1, y1]` boxes. See [OUTPUT_FORMAT.md](OUTPUT_FORMAT.md) before using it with dataset annotations. A `finish_reason` of `length` marks token-limit termination even if the resulting text parses. A successful JSON parse is not a schema or accuracy check.
|
| 82 |
+
|
| 83 |
+
The source runner also implements deterministic JSON recovery; that implementation is not part of this candidate. Its recovery behavior and the paper's graph evaluation procedures are relevant to reproducing the reported scores. This snippet deliberately exposes parsing errors and preserves the raw response for inspection.
|
LICENSE
ADDED
|
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Creative Commons Attribution-NonCommercial 4.0 International
|
| 2 |
+
|
| 3 |
+
Creative Commons Corporation (“Creative Commons”) is not a law firm and does not provide legal services or legal advice. Distribution of Creative Commons public licenses does not create a lawyer-client or other relationship. Creative Commons makes its licenses and related information available on an “as-is” basis. Creative Commons gives no warranties regarding its licenses, any material licensed under their terms and conditions, or any related information. Creative Commons disclaims all liability for damages resulting from their use to the fullest extent possible.
|
| 4 |
+
|
| 5 |
+
Using Creative Commons Public Licenses
|
| 6 |
+
|
| 7 |
+
Creative Commons public licenses provide a standard set of terms and conditions that creators and other rights holders may use to share original works of authorship and other material subject to copyright and certain other rights specified in the public license below. The following considerations are for informational purposes only, are not exhaustive, and do not form part of our licenses.
|
| 8 |
+
|
| 9 |
+
Considerations for licensors: Our public licenses are intended for use by those authorized to give the public permission to use material in ways otherwise restricted by copyright and certain other rights. Our licenses are irrevocable. Licensors should read and understand the terms and conditions of the license they choose before applying it. Licensors should also secure all rights necessary before applying our licenses so that the public can reuse the material as expected. Licensors should clearly mark any material not subject to the license. This includes other CC-licensed material, or material used under an exception or limitation to copyright. More considerations for licensors.
|
| 10 |
+
|
| 11 |
+
Considerations for the public: By using one of our public licenses, a licensor grants the public permission to use the licensed material under specified terms and conditions. If the licensor’s permission is not necessary for any reason–for example, because of any applicable exception or limitation to copyright–then that use is not regulated by the license. Our licenses grant only permissions under copyright and certain other rights that a licensor has authority to grant. Use of the licensed material may still be restricted for other reasons, including because others have copyright or other rights in the material. A licensor may make special requests, such as asking that all changes be marked or described. Although not required by our licenses, you are encouraged to respect those requests where reasonable. More considerations for the public.
|
| 12 |
+
|
| 13 |
+
Creative Commons Attribution-NonCommercial 4.0 International Public License
|
| 14 |
+
|
| 15 |
+
By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
|
| 16 |
+
|
| 17 |
+
Section 1 – Definitions.
|
| 18 |
+
|
| 19 |
+
a. Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
|
| 20 |
+
|
| 21 |
+
b. Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public License.
|
| 22 |
+
|
| 23 |
+
c. Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
|
| 24 |
+
|
| 25 |
+
d. Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
|
| 26 |
+
|
| 27 |
+
e. Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
|
| 28 |
+
|
| 29 |
+
f. Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
|
| 30 |
+
|
| 31 |
+
g. Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
|
| 32 |
+
|
| 33 |
+
h. Licensor means the individual(s) or entity(ies) granting rights under this Public License.
|
| 34 |
+
|
| 35 |
+
i. NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
|
| 36 |
+
|
| 37 |
+
j. Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
|
| 38 |
+
|
| 39 |
+
k. Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
|
| 40 |
+
|
| 41 |
+
l. You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
|
| 42 |
+
|
| 43 |
+
Section 2 – Scope.
|
| 44 |
+
|
| 45 |
+
a. License grant.
|
| 46 |
+
|
| 47 |
+
1. Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
|
| 48 |
+
|
| 49 |
+
A. reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
|
| 50 |
+
|
| 51 |
+
B. produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
|
| 52 |
+
|
| 53 |
+
2. Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
|
| 54 |
+
|
| 55 |
+
3. Term. The term of this Public License is specified in Section 6(a).
|
| 56 |
+
|
| 57 |
+
4. Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
|
| 58 |
+
|
| 59 |
+
5. Downstream recipients.
|
| 60 |
+
|
| 61 |
+
A. Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
|
| 62 |
+
|
| 63 |
+
B. No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
|
| 64 |
+
|
| 65 |
+
6. No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
|
| 66 |
+
|
| 67 |
+
b. Other rights.
|
| 68 |
+
|
| 69 |
+
1. Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
|
| 70 |
+
|
| 71 |
+
2. Patent and trademark rights are not licensed under this Public License.
|
| 72 |
+
|
| 73 |
+
3. To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
|
| 74 |
+
|
| 75 |
+
Section 3 – License Conditions.
|
| 76 |
+
|
| 77 |
+
Your exercise of the Licensed Rights is expressly made subject to the following conditions.
|
| 78 |
+
|
| 79 |
+
a. Attribution.
|
| 80 |
+
|
| 81 |
+
1. If You Share the Licensed Material (including in modified form), You must:
|
| 82 |
+
|
| 83 |
+
A. retain the following if it is supplied by the Licensor with the Licensed Material:
|
| 84 |
+
|
| 85 |
+
i. identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
|
| 86 |
+
|
| 87 |
+
ii. a copyright notice;
|
| 88 |
+
|
| 89 |
+
iii. a notice that refers to this Public License;
|
| 90 |
+
|
| 91 |
+
iv. a notice that refers to the disclaimer of warranties;
|
| 92 |
+
|
| 93 |
+
v. a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
|
| 94 |
+
|
| 95 |
+
B. indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
|
| 96 |
+
|
| 97 |
+
C. indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
|
| 98 |
+
|
| 99 |
+
2. You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
|
| 100 |
+
|
| 101 |
+
3. If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
|
| 102 |
+
|
| 103 |
+
4. If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
|
| 104 |
+
|
| 105 |
+
Section 4 – Sui Generis Database Rights.
|
| 106 |
+
|
| 107 |
+
Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
|
| 108 |
+
|
| 109 |
+
a. for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
|
| 110 |
+
|
| 111 |
+
b. if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
|
| 112 |
+
|
| 113 |
+
c. You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
|
| 114 |
+
For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
|
| 115 |
+
|
| 116 |
+
Section 5 – Disclaimer of Warranties and Limitation of Liability.
|
| 117 |
+
|
| 118 |
+
a. Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
|
| 119 |
+
|
| 120 |
+
b. To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
|
| 121 |
+
|
| 122 |
+
c. The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
|
| 123 |
+
|
| 124 |
+
Section 6 – Term and Termination.
|
| 125 |
+
|
| 126 |
+
a. This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
|
| 127 |
+
|
| 128 |
+
b. Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
|
| 129 |
+
|
| 130 |
+
1. automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
|
| 131 |
+
|
| 132 |
+
2. upon express reinstatement by the Licensor.
|
| 133 |
+
|
| 134 |
+
For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
|
| 135 |
+
|
| 136 |
+
c. For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
|
| 137 |
+
|
| 138 |
+
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
|
| 139 |
+
|
| 140 |
+
Section 7 – Other Terms and Conditions.
|
| 141 |
+
|
| 142 |
+
a. The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
|
| 143 |
+
|
| 144 |
+
b. Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
|
| 145 |
+
|
| 146 |
+
Section 8 – Interpretation.
|
| 147 |
+
|
| 148 |
+
a. For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
|
| 149 |
+
|
| 150 |
+
b. To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
|
| 151 |
+
|
| 152 |
+
c. No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
|
| 153 |
+
|
| 154 |
+
d. Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
|
| 155 |
+
|
| 156 |
+
Creative Commons is not a party to its public licenses. Notwithstanding, Creative Commons may elect to apply one of its public licenses to material it publishes and in those instances will be considered the “Licensor.” Except for the limited purpose of indicating that material is shared under a Creative Commons public license or as otherwise permitted by the Creative Commons policies published at creativecommons.org/policies, Creative Commons does not authorize the use of the trademark “Creative Commons” or any other trademark or logo of Creative Commons without its prior written consent including, without limitation, in connection with any unauthorized modifications to any of its public licenses or any other arrangements, understandings, or agreements concerning use of licensed material. For the avoidance of doubt, this paragraph does not form part of the public licenses.
|
| 157 |
+
|
| 158 |
+
Creative Commons may be contacted at creativecommons.org.
|
LICENSE-QWEN-APACHE-2.0
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
Apache License
|
| 3 |
+
Version 2.0, January 2004
|
| 4 |
+
http://www.apache.org/licenses/
|
| 5 |
+
|
| 6 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
| 7 |
+
|
| 8 |
+
1. Definitions.
|
| 9 |
+
|
| 10 |
+
"License" shall mean the terms and conditions for use, reproduction,
|
| 11 |
+
and distribution as defined by Sections 1 through 9 of this document.
|
| 12 |
+
|
| 13 |
+
"Licensor" shall mean the copyright owner or entity authorized by
|
| 14 |
+
the copyright owner that is granting the License.
|
| 15 |
+
|
| 16 |
+
"Legal Entity" shall mean the union of the acting entity and all
|
| 17 |
+
other entities that control, are controlled by, or are under common
|
| 18 |
+
control with that entity. For the purposes of this definition,
|
| 19 |
+
"control" means (i) the power, direct or indirect, to cause the
|
| 20 |
+
direction or management of such entity, whether by contract or
|
| 21 |
+
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
| 22 |
+
outstanding shares, or (iii) beneficial ownership of such entity.
|
| 23 |
+
|
| 24 |
+
"You" (or "Your") shall mean an individual or Legal Entity
|
| 25 |
+
exercising permissions granted by this License.
|
| 26 |
+
|
| 27 |
+
"Source" form shall mean the preferred form for making modifications,
|
| 28 |
+
including but not limited to software source code, documentation
|
| 29 |
+
source, and configuration files.
|
| 30 |
+
|
| 31 |
+
"Object" form shall mean any form resulting from mechanical
|
| 32 |
+
transformation or translation of a Source form, including but
|
| 33 |
+
not limited to compiled object code, generated documentation,
|
| 34 |
+
and conversions to other media types.
|
| 35 |
+
|
| 36 |
+
"Work" shall mean the work of authorship, whether in Source or
|
| 37 |
+
Object form, made available under the License, as indicated by a
|
| 38 |
+
copyright notice that is included in or attached to the work
|
| 39 |
+
(an example is provided in the Appendix below).
|
| 40 |
+
|
| 41 |
+
"Derivative Works" shall mean any work, whether in Source or Object
|
| 42 |
+
form, that is based on (or derived from) the Work and for which the
|
| 43 |
+
editorial revisions, annotations, elaborations, or other modifications
|
| 44 |
+
represent, as a whole, an original work of authorship. For the purposes
|
| 45 |
+
of this License, Derivative Works shall not include works that remain
|
| 46 |
+
separable from, or merely link (or bind by name) to the interfaces of,
|
| 47 |
+
the Work and Derivative Works thereof.
|
| 48 |
+
|
| 49 |
+
"Contribution" shall mean any work of authorship, including
|
| 50 |
+
the original version of the Work and any modifications or additions
|
| 51 |
+
to that Work or Derivative Works thereof, that is intentionally
|
| 52 |
+
submitted to Licensor for inclusion in the Work by the copyright owner
|
| 53 |
+
or by an individual or Legal Entity authorized to submit on behalf of
|
| 54 |
+
the copyright owner. For the purposes of this definition, "submitted"
|
| 55 |
+
means any form of electronic, verbal, or written communication sent
|
| 56 |
+
to the Licensor or its representatives, including but not limited to
|
| 57 |
+
communication on electronic mailing lists, source code control systems,
|
| 58 |
+
and issue tracking systems that are managed by, or on behalf of, the
|
| 59 |
+
Licensor for the purpose of discussing and improving the Work, but
|
| 60 |
+
excluding communication that is conspicuously marked or otherwise
|
| 61 |
+
designated in writing by the copyright owner as "Not a Contribution."
|
| 62 |
+
|
| 63 |
+
"Contributor" shall mean Licensor and any individual or Legal Entity
|
| 64 |
+
on behalf of whom a Contribution has been received by Licensor and
|
| 65 |
+
subsequently incorporated within the Work.
|
| 66 |
+
|
| 67 |
+
2. Grant of Copyright License. Subject to the terms and conditions of
|
| 68 |
+
this License, each Contributor hereby grants to You a perpetual,
|
| 69 |
+
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
| 70 |
+
copyright license to reproduce, prepare Derivative Works of,
|
| 71 |
+
publicly display, publicly perform, sublicense, and distribute the
|
| 72 |
+
Work and such Derivative Works in Source or Object form.
|
| 73 |
+
|
| 74 |
+
3. Grant of Patent License. Subject to the terms and conditions of
|
| 75 |
+
this License, each Contributor hereby grants to You a perpetual,
|
| 76 |
+
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
| 77 |
+
(except as stated in this section) patent license to make, have made,
|
| 78 |
+
use, offer to sell, sell, import, and otherwise transfer the Work,
|
| 79 |
+
where such license applies only to those patent claims licensable
|
| 80 |
+
by such Contributor that are necessarily infringed by their
|
| 81 |
+
Contribution(s) alone or by combination of their Contribution(s)
|
| 82 |
+
with the Work to which such Contribution(s) was submitted. If You
|
| 83 |
+
institute patent litigation against any entity (including a
|
| 84 |
+
cross-claim or counterclaim in a lawsuit) alleging that the Work
|
| 85 |
+
or a Contribution incorporated within the Work constitutes direct
|
| 86 |
+
or contributory patent infringement, then any patent licenses
|
| 87 |
+
granted to You under this License for that Work shall terminate
|
| 88 |
+
as of the date such litigation is filed.
|
| 89 |
+
|
| 90 |
+
4. Redistribution. You may reproduce and distribute copies of the
|
| 91 |
+
Work or Derivative Works thereof in any medium, with or without
|
| 92 |
+
modifications, and in Source or Object form, provided that You
|
| 93 |
+
meet the following conditions:
|
| 94 |
+
|
| 95 |
+
(a) You must give any other recipients of the Work or
|
| 96 |
+
Derivative Works a copy of this License; and
|
| 97 |
+
|
| 98 |
+
(b) You must cause any modified files to carry prominent notices
|
| 99 |
+
stating that You changed the files; and
|
| 100 |
+
|
| 101 |
+
(c) You must retain, in the Source form of any Derivative Works
|
| 102 |
+
that You distribute, all copyright, patent, trademark, and
|
| 103 |
+
attribution notices from the Source form of the Work,
|
| 104 |
+
excluding those notices that do not pertain to any part of
|
| 105 |
+
the Derivative Works; and
|
| 106 |
+
|
| 107 |
+
(d) If the Work includes a "NOTICE" text file as part of its
|
| 108 |
+
distribution, then any Derivative Works that You distribute must
|
| 109 |
+
include a readable copy of the attribution notices contained
|
| 110 |
+
within such NOTICE file, excluding those notices that do not
|
| 111 |
+
pertain to any part of the Derivative Works, in at least one
|
| 112 |
+
of the following places: within a NOTICE text file distributed
|
| 113 |
+
as part of the Derivative Works; within the Source form or
|
| 114 |
+
documentation, if provided along with the Derivative Works; or,
|
| 115 |
+
within a display generated by the Derivative Works, if and
|
| 116 |
+
wherever such third-party notices normally appear. The contents
|
| 117 |
+
of the NOTICE file are for informational purposes only and
|
| 118 |
+
do not modify the License. You may add Your own attribution
|
| 119 |
+
notices within Derivative Works that You distribute, alongside
|
| 120 |
+
or as an addendum to the NOTICE text from the Work, provided
|
| 121 |
+
that such additional attribution notices cannot be construed
|
| 122 |
+
as modifying the License.
|
| 123 |
+
|
| 124 |
+
You may add Your own copyright statement to Your modifications and
|
| 125 |
+
may provide additional or different license terms and conditions
|
| 126 |
+
for use, reproduction, or distribution of Your modifications, or
|
| 127 |
+
for any such Derivative Works as a whole, provided Your use,
|
| 128 |
+
reproduction, and distribution of the Work otherwise complies with
|
| 129 |
+
the conditions stated in this License.
|
| 130 |
+
|
| 131 |
+
5. Submission of Contributions. Unless You explicitly state otherwise,
|
| 132 |
+
any Contribution intentionally submitted for inclusion in the Work
|
| 133 |
+
by You to the Licensor shall be under the terms and conditions of
|
| 134 |
+
this License, without any additional terms or conditions.
|
| 135 |
+
Notwithstanding the above, nothing herein shall supersede or modify
|
| 136 |
+
the terms of any separate license agreement you may have executed
|
| 137 |
+
with Licensor regarding such Contributions.
|
| 138 |
+
|
| 139 |
+
6. Trademarks. This License does not grant permission to use the trade
|
| 140 |
+
names, trademarks, service marks, or product names of the Licensor,
|
| 141 |
+
except as required for reasonable and customary use in describing the
|
| 142 |
+
origin of the Work and reproducing the content of the NOTICE file.
|
| 143 |
+
|
| 144 |
+
7. Disclaimer of Warranty. Unless required by applicable law or
|
| 145 |
+
agreed to in writing, Licensor provides the Work (and each
|
| 146 |
+
Contributor provides its Contributions) on an "AS IS" BASIS,
|
| 147 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
|
| 148 |
+
implied, including, without limitation, any warranties or conditions
|
| 149 |
+
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
|
| 150 |
+
PARTICULAR PURPOSE. You are solely responsible for determining the
|
| 151 |
+
appropriateness of using or redistributing the Work and assume any
|
| 152 |
+
risks associated with Your exercise of permissions under this License.
|
| 153 |
+
|
| 154 |
+
8. Limitation of Liability. In no event and under no legal theory,
|
| 155 |
+
whether in tort (including negligence), contract, or otherwise,
|
| 156 |
+
unless required by applicable law (such as deliberate and grossly
|
| 157 |
+
negligent acts) or agreed to in writing, shall any Contributor be
|
| 158 |
+
liable to You for damages, including any direct, indirect, special,
|
| 159 |
+
incidental, or consequential damages of any character arising as a
|
| 160 |
+
result of this License or out of the use or inability to use the
|
| 161 |
+
Work (including but not limited to damages for loss of goodwill,
|
| 162 |
+
work stoppage, computer failure or malfunction, or any and all
|
| 163 |
+
other commercial damages or losses), even if such Contributor
|
| 164 |
+
has been advised of the possibility of such damages.
|
| 165 |
+
|
| 166 |
+
9. Accepting Warranty or Additional Liability. While redistributing
|
| 167 |
+
the Work or Derivative Works thereof, You may choose to offer,
|
| 168 |
+
and charge a fee for, acceptance of support, warranty, indemnity,
|
| 169 |
+
or other liability obligations and/or rights consistent with this
|
| 170 |
+
License. However, in accepting such obligations, You may act only
|
| 171 |
+
on Your own behalf and on Your sole responsibility, not on behalf
|
| 172 |
+
of any other Contributor, and only if You agree to indemnify,
|
| 173 |
+
defend, and hold each Contributor harmless for any liability
|
| 174 |
+
incurred by, or claims asserted against, such Contributor by reason
|
| 175 |
+
of your accepting any such warranty or additional liability.
|
| 176 |
+
|
| 177 |
+
END OF TERMS AND CONDITIONS
|
| 178 |
+
|
| 179 |
+
APPENDIX: How to apply the Apache License to your work.
|
| 180 |
+
|
| 181 |
+
To apply the Apache License to your work, attach the following
|
| 182 |
+
boilerplate notice, with the fields enclosed by brackets "[]"
|
| 183 |
+
replaced with your own identifying information. (Don't include
|
| 184 |
+
the brackets!) The text should be enclosed in the appropriate
|
| 185 |
+
comment syntax for the file format. We also recommend that a
|
| 186 |
+
file or class name and description of purpose be included on the
|
| 187 |
+
same "printed page" as the copyright notice for easier
|
| 188 |
+
identification within third-party archives.
|
| 189 |
+
|
| 190 |
+
Copyright 2026 Alibaba Cloud
|
| 191 |
+
|
| 192 |
+
Licensed under the Apache License, Version 2.0 (the "License");
|
| 193 |
+
you may not use this file except in compliance with the License.
|
| 194 |
+
You may obtain a copy of the License at
|
| 195 |
+
|
| 196 |
+
http://www.apache.org/licenses/LICENSE-2.0
|
| 197 |
+
|
| 198 |
+
Unless required by applicable law or agreed to in writing, software
|
| 199 |
+
distributed under the License is distributed on an "AS IS" BASIS,
|
| 200 |
+
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 201 |
+
See the License for the specific language governing permissions and
|
| 202 |
+
limitations under the License.
|
NOTICE.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# License and attribution
|
| 2 |
+
|
| 3 |
+
ChartGalaxy++ Image2JSON is a fine-tuned model in the Qwen3.5-4B family. The model weights were modified through supervised fine-tuning for chart scene graph prediction.
|
| 4 |
+
|
| 5 |
+
The ChartGalaxy++ fine-tuning contributions and newly written documentation are provided under the [Creative Commons Attribution-NonCommercial 4.0 International license](https://creativecommons.org/licenses/by-nc/4.0/). The complete license text is included as [LICENSE](LICENSE).
|
| 6 |
+
|
| 7 |
+
Qwen's original model and supporting materials are credited to the **Qwen Team**. Retained upstream materials, including tokenizer and configuration assets, retain their existing license. Qwen publishes its [Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) and [Qwen3.5-4B-Base](https://huggingface.co/Qwen/Qwen3.5-4B-Base) releases under Apache-2.0. A copy of the upstream license is included as [LICENSE-QWEN-APACHE-2.0](LICENSE-QWEN-APACHE-2.0). The CC BY-NC notice does not replace the license of independently retained upstream materials.
|
| 8 |
+
|
| 9 |
+
Attribution for this fine-tuned artifact: **ChartGalaxy++ Image2JSON, ChartGalaxyPP**. Retain the license and attribution notices and identify further changes when redistributing modified versions.
|
OUTPUT_FORMAT.md
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Image2JSON output format
|
| 2 |
+
|
| 3 |
+
The model emits a JSON object with `high_level_description`, `style_description`, and `elements`. `elements.background` describes the background, and `elements.layout` is a flat list of element and group nodes. A node's `parent` refers to another node label or the implicit `ROOT`.
|
| 4 |
+
|
| 5 |
+
| Native model output | Dataset representation |
|
| 6 |
+
| --- | --- |
|
| 7 |
+
| `high_level_description` | Same field |
|
| 8 |
+
| `style_description` | Same field |
|
| 9 |
+
| `elements.background` | `compositional_deconstruction.background` |
|
| 10 |
+
| `elements.layout` | `compositional_deconstruction.nodes` |
|
| 11 |
+
| `node_kind` | Same field; `element` or `group` |
|
| 12 |
+
| `type` on an element | `element_type` |
|
| 13 |
+
| `type` on a group | `group_type` |
|
| 14 |
+
| `bbox: [x0, y0, x1, y1]` | `bbox: [y0, x0, y1, x1]` |
|
| 15 |
+
| `label`, `parent`, `desc`, `text`, `color_palette`, `role`, `role_family` | Preserve applicable fields |
|
| 16 |
+
|
| 17 |
+
Both box formats use a 0–1000 coordinate grid. For a native box, pixel coordinates are `(x0 * width/1000, y0 * height/1000, x1 * width/1000, y1 * height/1000)`. Use the original image dimensions; do not interpret the grid values directly as pixels.
|
| 18 |
+
|
| 19 |
+
The `type` vocabulary is `text`, `image`, or `shape` for elements, and `chart`, `axis`, `legend`, `legend_item`, `data_item`, `series`, or `panel` for groups. The native prompt requests a `node_kind` and the roles applicable to each item. Treat missing, contradictory, or unknown node types as validation errors rather than silently guessing replacements.
|
| 20 |
+
|
| 21 |
+
For example, a native element box `[100, 200, 400, 500]` becomes `[200, 100, 500, 400]` in the dataset representation. Preserve the label and parent when changing the field names and box order.
|
| 22 |
+
|
| 23 |
+
Validate unique labels, existing parent references, hierarchy acyclicity, box ordering and bounds, and required fields after conversion. Serialization conversion alone does not guarantee conformance to the [dataset schema](https://huggingface.co/datasets/ChartGalaxyPP/ChartGalaxyPlusPlus/blob/main/scene_graph.schema.json).
|
| 24 |
+
|
| 25 |
+
The model does **not** emit the dataset's separate `spatial_relations` list. Such records depend on node geometry and a specified spatial sampling policy. Do not fill a missing list with invented relations or compare native JSON against the dataset without adapting its representation.
|
| 26 |
+
|
| 27 |
+
Retain raw generated text and generation termination information. If a response is truncated, syntax repair may yield a parseable partial graph; record that status separately from schema validity and semantic accuracy. The usage example uses strict JSON parsing so that a malformed response remains visible.
|
README.md
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
library_name: transformers
|
| 4 |
+
pipeline_tag: image-text-to-text
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
datasets:
|
| 8 |
+
- ChartGalaxyPP/ChartGalaxyPlusPlus
|
| 9 |
+
tags:
|
| 10 |
+
- chart
|
| 11 |
+
- infographic
|
| 12 |
+
- scene-graph
|
| 13 |
+
- image2json
|
| 14 |
+
- qwen3_5
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# ChartGalaxy++ Image2JSON
|
| 18 |
+
|
| 19 |
+
Image2JSON predicts a structured description of an infographic chart, including visual elements, semantic groups, parent links, text, bounding boxes, and appearance descriptions. It is the Qwen3.5-4B-family model fine-tuned for the image-to-scene-graph task in ChartGalaxy++.
|
| 20 |
+
|
| 21 |
+
This release contains the full **checkpoint-100000** model in two Safetensors shards, together with its tokenizer, processor, chat template, and inference specification. The nine model files total **9,339,891,123 bytes**. Their hashes match the export used for the paper's evaluation.
|
| 22 |
+
|
| 23 |
+
[Dataset](https://huggingface.co/datasets/ChartGalaxyPP/ChartGalaxyPlusPlus) · [Project](https://github.com/ChartGalaxyPP/ChartGalaxyPlusPlus) · [Inference guide](INFERENCE.md) · [Output format](OUTPUT_FORMAT.md)
|
| 24 |
+
|
| 25 |
+
## Model and evaluation
|
| 26 |
+
|
| 27 |
+
| Property | Value |
|
| 28 |
+
| --- | --- |
|
| 29 |
+
| Architecture | `Qwen3_5ForConditionalGeneration` |
|
| 30 |
+
| Fine-tuning | Supervised fine-tuning for chart scene graph prediction |
|
| 31 |
+
| Checkpoint step | 100,000 |
|
| 32 |
+
| Weight dtype | BF16 |
|
| 33 |
+
| Artifact | Full model, tokenizer, image processor, and chat template |
|
| 34 |
+
| Paper test set | 1,000 charts: 500 real and 500 synthetic |
|
| 35 |
+
| Element F1 | 89.4% |
|
| 36 |
+
| Hierarchy F1 | 85.1% |
|
| 37 |
+
| Spatial F1 | 88.0% |
|
| 38 |
+
|
| 39 |
+
Scores are those of the paper's evaluation protocol, including its output recovery and graph evaluation procedures. They are not a fresh evaluation of the short inference example below. Stored weight tensors include the vision and auxiliary model components; the architecture's “4B” family name is not the count of all scalars in this export.
|
| 40 |
+
|
| 41 |
+
## Use
|
| 42 |
+
|
| 43 |
+
Download all model files into one directory. Follow [INFERENCE.md](INFERENCE.md) for the exact prompt and local vLLM settings. The standalone example has now been run with Python 3.11.14, vLLM 0.20.2, Transformers 5.12.1, PyTorch 2.11.0 / CUDA 13.0, and xgrammar 0.1.32. The exact tested environment is recorded in `requirements-smoke.txt`.
|
| 44 |
+
|
| 45 |
+
The native output is **`elements.layout` with `[x0, y0, x1, y1]` bounding boxes on a 0–1000 grid**. The dataset uses `compositional_deconstruction.nodes` and `[y0, x0, y1, x1]`. Apply the mapping in [OUTPUT_FORMAT.md](OUTPUT_FORMAT.md) before comparing outputs or drawing dataset-format boxes. Spatial relationship records are not directly generated by the model.
|
| 46 |
+
|
| 47 |
+
## Limits and validation
|
| 48 |
+
|
| 49 |
+
Predictions can miss elements, assign incorrect parents, misread text, or produce invalid JSON. Long charts may exceed the 20,000-token output limit. Closing truncated JSON does not recover omitted nodes or establish annotation correctness.
|
| 50 |
+
|
| 51 |
+
Preparation checks verified every source file checksum, all 738 Safetensors entries and their shard mapping, and the identity of the paper checkpoint. A standalone GPU inference completed on the recorded synthetic training example: 11,485 output tokens, 128 layout items, normal stop, and valid JSON without recovery. The output also passed the native evaluator schema and graph-reference checks. See `smoke/validation.json` and the saved output; its input hash identifies the historical version used for that smoke test. This checks usability and structure; it is not an accuracy evaluation.
|
| 52 |
+
|
| 53 |
+
## License and attribution
|
| 54 |
+
|
| 55 |
+
The ChartGalaxy++ fine-tuning contributions are licensed under **CC BY-NC 4.0**, as selected by the model owner. See [LICENSE](LICENSE) and [NOTICE.md](NOTICE.md). Retained Qwen materials remain subject to their upstream Apache-2.0 license, included in [LICENSE-QWEN-APACHE-2.0](LICENSE-QWEN-APACHE-2.0).
|
| 56 |
+
|
| 57 |
+
`release_metadata.json` lists the verified model identities; `SHA256SUMS` covers the released files. This package contains model artifacts and usage documentation. Annotation, training, evaluation, and review pipeline implementations are outside its scope.
|
SHA256SUMS
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
a0e948ca693c63e0b5139f66bd709003cbcf8bc764acb1ee687a552885c8fe2c .gitattributes
|
| 2 |
+
6e809ac2dda880040b6a943979b959f08b5be61761623153845c38eba451ad86 INFERENCE.md
|
| 3 |
+
cc97a2c4ff7723a1f25179dc7c18f676fa84191bbb36ea7d0061acaf3c102559 LICENSE
|
| 4 |
+
50cbab8a892c5f2993b8c7351a99182507472def3b1374558308605d99b86b32 LICENSE-QWEN-APACHE-2.0
|
| 5 |
+
806ea75508761d8cb9515bac61c05be851967b5db755f2223f51a6306d9a1d0d NOTICE.md
|
| 6 |
+
7eedb3f5f62834ed0fcdaa889101085b24e5864e13d25c9aecdf7c513d05f951 OUTPUT_FORMAT.md
|
| 7 |
+
5b6f27f2427e3bc8dfee1e03be48162b139d853a17a1f8e42116785201c95b8d README.md
|
| 8 |
+
a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715 chat_template.jinja
|
| 9 |
+
881208c0f3f48d8fe920b4caf1bac23b4e2d351557bf2c1314b2040ceb4c6bba config.json
|
| 10 |
+
a50023c63e657eff70e2cfdd42f384eedd085ffa34898aa6d7e34cb16618bbc7 inference_spec.json
|
| 11 |
+
39c4d658c5e83be2ed19b25e80818f231eff2c147a88398fb6df239a9916326e model-00001-of-00002.safetensors
|
| 12 |
+
43a5930fa5f7af81ad51894836f71f124a4d4ef1a21cc3e8c6c75beb8cf14865 model-00002-of-00002.safetensors
|
| 13 |
+
ad380c647e34236cf9f313ff673781e2fca1aaff85af6117727762224f019993 model.safetensors.index.json
|
| 14 |
+
27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516 preprocessor_config.json
|
| 15 |
+
d89ef49ce9cd37fbf510158e13c1ef063d9286411c1ec9049932dbe0487143b1 processor_config.json
|
| 16 |
+
7f1e5a4f51fceffe9b0d9c4b42ad6d2019f8c52c928348d5419dd49f5f459664 release_metadata.json
|
| 17 |
+
3906fb04e65a3815d7c4c4248b8ac0e8bfdacbc722ba44491be344ce225ec036 requirements-smoke.txt
|
| 18 |
+
2510f614f11d9df4393af8822b23386ea4a0ef5323365eb82096d8c3d8947da6 smoke/prediction.json
|
| 19 |
+
bceee5f5cd9d33d5e9ead0095dfdfa572cbca752c9e35ee696dfcf4b5aad4334 smoke/prediction.raw.txt
|
| 20 |
+
bf1046d4e0b4d71c825ce34e0a238cbd509d076a22adbd2ed492aff7c6e793f2 smoke/validation.json
|
| 21 |
+
06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json
|
| 22 |
+
792fa3f0cb88b111e54ef3134c873531008c4df471d108da17903426e308aa7b tokenizer_config.json
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"hidden_size": 2560,
|
| 7 |
+
"image_token_id": 248056,
|
| 8 |
+
"model_type": "qwen3_5",
|
| 9 |
+
"text_config": {
|
| 10 |
+
"attention_bias": false,
|
| 11 |
+
"attention_dropout": 0.0,
|
| 12 |
+
"attn_output_gate": true,
|
| 13 |
+
"bos_token_id": null,
|
| 14 |
+
"dtype": "bfloat16",
|
| 15 |
+
"eos_token_id": 248044,
|
| 16 |
+
"full_attention_interval": 4,
|
| 17 |
+
"head_dim": 256,
|
| 18 |
+
"hidden_act": "silu",
|
| 19 |
+
"hidden_size": 2560,
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 9216,
|
| 22 |
+
"layer_types": [
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"linear_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"full_attention"
|
| 55 |
+
],
|
| 56 |
+
"linear_conv_kernel_dim": 4,
|
| 57 |
+
"linear_key_head_dim": 128,
|
| 58 |
+
"linear_num_key_heads": 16,
|
| 59 |
+
"linear_num_value_heads": 32,
|
| 60 |
+
"linear_value_head_dim": 128,
|
| 61 |
+
"mamba_ssm_dtype": "float32",
|
| 62 |
+
"max_position_embeddings": 262144,
|
| 63 |
+
"mlp_only_layers": [],
|
| 64 |
+
"model_type": "qwen3_5_text",
|
| 65 |
+
"mtp_num_hidden_layers": 1,
|
| 66 |
+
"mtp_use_dedicated_embeddings": false,
|
| 67 |
+
"num_attention_heads": 16,
|
| 68 |
+
"num_hidden_layers": 32,
|
| 69 |
+
"num_key_value_heads": 4,
|
| 70 |
+
"pad_token_id": null,
|
| 71 |
+
"partial_rotary_factor": 0.25,
|
| 72 |
+
"rms_norm_eps": 1e-06,
|
| 73 |
+
"rope_parameters": {
|
| 74 |
+
"mrope_interleaved": true,
|
| 75 |
+
"mrope_section": [
|
| 76 |
+
11,
|
| 77 |
+
11,
|
| 78 |
+
10
|
| 79 |
+
],
|
| 80 |
+
"partial_rotary_factor": 0.25,
|
| 81 |
+
"rope_theta": 10000000,
|
| 82 |
+
"rope_type": "default"
|
| 83 |
+
},
|
| 84 |
+
"tie_word_embeddings": true,
|
| 85 |
+
"use_cache": true,
|
| 86 |
+
"vocab_size": 248320
|
| 87 |
+
},
|
| 88 |
+
"tie_word_embeddings": true,
|
| 89 |
+
"transformers_version": "5.12.1",
|
| 90 |
+
"video_token_id": 248057,
|
| 91 |
+
"vision_config": {
|
| 92 |
+
"deepstack_visual_indexes": [],
|
| 93 |
+
"depth": 24,
|
| 94 |
+
"dtype": "bfloat16",
|
| 95 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 96 |
+
"hidden_size": 1024,
|
| 97 |
+
"in_channels": 3,
|
| 98 |
+
"initializer_range": 0.02,
|
| 99 |
+
"intermediate_size": 4096,
|
| 100 |
+
"model_type": "qwen3_5_vision",
|
| 101 |
+
"num_heads": 16,
|
| 102 |
+
"num_position_embeddings": 2304,
|
| 103 |
+
"out_hidden_size": 2560,
|
| 104 |
+
"patch_size": 16,
|
| 105 |
+
"spatial_merge_size": 2,
|
| 106 |
+
"temporal_patch_size": 2
|
| 107 |
+
},
|
| 108 |
+
"vision_end_token_id": 248054,
|
| 109 |
+
"vision_start_token_id": 248053
|
| 110 |
+
}
|
inference_spec.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"system_prompt": "You produce a complete structured design description from an image. Return only valid JSON in the requested full schema.",
|
| 3 |
+
"user_prompt": "Generate the complete JSON containing high_level_description, style_description, elements.background, and elements.layout. Every layout item must contain type, label, parent, bbox in xyxy_1000 coordinates, and desc. When exact visible text is available for an item of type \"text\", include it in the text field. Also include style_description.color_palette and preserve the full annotation schema: layout items include node_kind, color_palette, and role or role_family when applicable. The type value is the group_type or element_type of the node. Use null for unavailable style descriptions and [] for empty color palettes.",
|
| 4 |
+
"enable_thinking": false,
|
| 5 |
+
"max_model_len": 32768,
|
| 6 |
+
"max_new_tokens": 20000,
|
| 7 |
+
"max_pixels": 2359296,
|
| 8 |
+
"gpu_memory_utilization": 0.82,
|
| 9 |
+
"seed": 42,
|
| 10 |
+
"temperature": 0.0,
|
| 11 |
+
"top_p": 1.0,
|
| 12 |
+
"top_k": 0,
|
| 13 |
+
"repetition_penalty": 1.0,
|
| 14 |
+
"frequency_penalty": 0.0,
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"tensor_parallel_size": 1,
|
| 17 |
+
"max_num_seqs": 1,
|
| 18 |
+
"gdn_prefill_backend": "triton",
|
| 19 |
+
"compilation_config": {
|
| 20 |
+
"mode": 0,
|
| 21 |
+
"cudagraph_mode": 2,
|
| 22 |
+
"cudagraph_capture_sizes": [
|
| 23 |
+
128,
|
| 24 |
+
192,
|
| 25 |
+
256
|
| 26 |
+
]
|
| 27 |
+
},
|
| 28 |
+
"environment": {
|
| 29 |
+
"VLLM_USE_DEEP_GEMM": "0",
|
| 30 |
+
"VLLM_MOE_USE_DEEP_GEMM": "0",
|
| 31 |
+
"VLLM_USE_FLASHINFER_SAMPLER": "0"
|
| 32 |
+
},
|
| 33 |
+
"upstream_validated_runtime": {
|
| 34 |
+
"python": "3.11",
|
| 35 |
+
"vllm": "0.20.2"
|
| 36 |
+
},
|
| 37 |
+
"output_bbox_format": "xyxy_1000",
|
| 38 |
+
"output_nodes_path": "elements.layout"
|
| 39 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39c4d658c5e83be2ed19b25e80818f231eff2c147a88398fb6df239a9916326e
|
| 3 |
+
size 4973340248
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43a5930fa5f7af81ad51894836f71f124a4d4ef1a21cc3e8c6c75beb8cf14865
|
| 3 |
+
size 4346480856
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,745 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 9319730176
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"model.language_model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 7 |
+
"model.visual.patch_embed.proj.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"model.visual.patch_embed.proj.bias": "model-00001-of-00002.safetensors",
|
| 9 |
+
"model.visual.pos_embed.weight": "model-00001-of-00002.safetensors",
|
| 10 |
+
"model.visual.blocks.0.norm1.weight": "model-00001-of-00002.safetensors",
|
| 11 |
+
"model.visual.blocks.0.norm1.bias": "model-00001-of-00002.safetensors",
|
| 12 |
+
"model.visual.blocks.0.norm2.weight": "model-00001-of-00002.safetensors",
|
| 13 |
+
"model.visual.blocks.0.norm2.bias": "model-00001-of-00002.safetensors",
|
| 14 |
+
"model.visual.blocks.0.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 15 |
+
"model.visual.blocks.0.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 16 |
+
"model.visual.blocks.0.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 17 |
+
"model.visual.blocks.0.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 18 |
+
"model.visual.blocks.0.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 19 |
+
"model.visual.blocks.0.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 20 |
+
"model.visual.blocks.0.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 21 |
+
"model.visual.blocks.0.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 22 |
+
"model.visual.blocks.1.norm1.weight": "model-00001-of-00002.safetensors",
|
| 23 |
+
"model.visual.blocks.1.norm1.bias": "model-00001-of-00002.safetensors",
|
| 24 |
+
"model.visual.blocks.1.norm2.weight": "model-00001-of-00002.safetensors",
|
| 25 |
+
"model.visual.blocks.1.norm2.bias": "model-00001-of-00002.safetensors",
|
| 26 |
+
"model.visual.blocks.1.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 27 |
+
"model.visual.blocks.1.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 28 |
+
"model.visual.blocks.1.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 29 |
+
"model.visual.blocks.1.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 30 |
+
"model.visual.blocks.1.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 31 |
+
"model.visual.blocks.1.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 32 |
+
"model.visual.blocks.1.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 33 |
+
"model.visual.blocks.1.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 34 |
+
"model.visual.blocks.2.norm1.weight": "model-00001-of-00002.safetensors",
|
| 35 |
+
"model.visual.blocks.2.norm1.bias": "model-00001-of-00002.safetensors",
|
| 36 |
+
"model.visual.blocks.2.norm2.weight": "model-00001-of-00002.safetensors",
|
| 37 |
+
"model.visual.blocks.2.norm2.bias": "model-00001-of-00002.safetensors",
|
| 38 |
+
"model.visual.blocks.2.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 39 |
+
"model.visual.blocks.2.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 40 |
+
"model.visual.blocks.2.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 41 |
+
"model.visual.blocks.2.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 42 |
+
"model.visual.blocks.2.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 43 |
+
"model.visual.blocks.2.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 44 |
+
"model.visual.blocks.2.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 45 |
+
"model.visual.blocks.2.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 46 |
+
"model.visual.blocks.3.norm1.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.visual.blocks.3.norm1.bias": "model-00001-of-00002.safetensors",
|
| 48 |
+
"model.visual.blocks.3.norm2.weight": "model-00001-of-00002.safetensors",
|
| 49 |
+
"model.visual.blocks.3.norm2.bias": "model-00001-of-00002.safetensors",
|
| 50 |
+
"model.visual.blocks.3.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 51 |
+
"model.visual.blocks.3.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 52 |
+
"model.visual.blocks.3.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 53 |
+
"model.visual.blocks.3.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 54 |
+
"model.visual.blocks.3.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 55 |
+
"model.visual.blocks.3.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 56 |
+
"model.visual.blocks.3.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 57 |
+
"model.visual.blocks.3.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 58 |
+
"model.visual.blocks.4.norm1.weight": "model-00001-of-00002.safetensors",
|
| 59 |
+
"model.visual.blocks.4.norm1.bias": "model-00001-of-00002.safetensors",
|
| 60 |
+
"model.visual.blocks.4.norm2.weight": "model-00001-of-00002.safetensors",
|
| 61 |
+
"model.visual.blocks.4.norm2.bias": "model-00001-of-00002.safetensors",
|
| 62 |
+
"model.visual.blocks.4.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 63 |
+
"model.visual.blocks.4.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 64 |
+
"model.visual.blocks.4.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 65 |
+
"model.visual.blocks.4.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 66 |
+
"model.visual.blocks.4.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 67 |
+
"model.visual.blocks.4.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 68 |
+
"model.visual.blocks.4.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 69 |
+
"model.visual.blocks.4.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 70 |
+
"model.visual.blocks.5.norm1.weight": "model-00001-of-00002.safetensors",
|
| 71 |
+
"model.visual.blocks.5.norm1.bias": "model-00001-of-00002.safetensors",
|
| 72 |
+
"model.visual.blocks.5.norm2.weight": "model-00001-of-00002.safetensors",
|
| 73 |
+
"model.visual.blocks.5.norm2.bias": "model-00001-of-00002.safetensors",
|
| 74 |
+
"model.visual.blocks.5.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 75 |
+
"model.visual.blocks.5.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 76 |
+
"model.visual.blocks.5.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 77 |
+
"model.visual.blocks.5.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 78 |
+
"model.visual.blocks.5.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 79 |
+
"model.visual.blocks.5.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 80 |
+
"model.visual.blocks.5.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 81 |
+
"model.visual.blocks.5.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 82 |
+
"model.visual.blocks.6.norm1.weight": "model-00001-of-00002.safetensors",
|
| 83 |
+
"model.visual.blocks.6.norm1.bias": "model-00001-of-00002.safetensors",
|
| 84 |
+
"model.visual.blocks.6.norm2.weight": "model-00001-of-00002.safetensors",
|
| 85 |
+
"model.visual.blocks.6.norm2.bias": "model-00001-of-00002.safetensors",
|
| 86 |
+
"model.visual.blocks.6.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 87 |
+
"model.visual.blocks.6.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 88 |
+
"model.visual.blocks.6.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 89 |
+
"model.visual.blocks.6.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 90 |
+
"model.visual.blocks.6.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 91 |
+
"model.visual.blocks.6.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 92 |
+
"model.visual.blocks.6.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 93 |
+
"model.visual.blocks.6.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 94 |
+
"model.visual.blocks.7.norm1.weight": "model-00001-of-00002.safetensors",
|
| 95 |
+
"model.visual.blocks.7.norm1.bias": "model-00001-of-00002.safetensors",
|
| 96 |
+
"model.visual.blocks.7.norm2.weight": "model-00001-of-00002.safetensors",
|
| 97 |
+
"model.visual.blocks.7.norm2.bias": "model-00001-of-00002.safetensors",
|
| 98 |
+
"model.visual.blocks.7.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 99 |
+
"model.visual.blocks.7.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 100 |
+
"model.visual.blocks.7.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 101 |
+
"model.visual.blocks.7.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 102 |
+
"model.visual.blocks.7.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 103 |
+
"model.visual.blocks.7.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 104 |
+
"model.visual.blocks.7.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 105 |
+
"model.visual.blocks.7.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 106 |
+
"model.visual.blocks.8.norm1.weight": "model-00001-of-00002.safetensors",
|
| 107 |
+
"model.visual.blocks.8.norm1.bias": "model-00001-of-00002.safetensors",
|
| 108 |
+
"model.visual.blocks.8.norm2.weight": "model-00001-of-00002.safetensors",
|
| 109 |
+
"model.visual.blocks.8.norm2.bias": "model-00001-of-00002.safetensors",
|
| 110 |
+
"model.visual.blocks.8.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 111 |
+
"model.visual.blocks.8.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 112 |
+
"model.visual.blocks.8.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 113 |
+
"model.visual.blocks.8.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 114 |
+
"model.visual.blocks.8.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 115 |
+
"model.visual.blocks.8.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 116 |
+
"model.visual.blocks.8.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 117 |
+
"model.visual.blocks.8.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 118 |
+
"model.visual.blocks.9.norm1.weight": "model-00001-of-00002.safetensors",
|
| 119 |
+
"model.visual.blocks.9.norm1.bias": "model-00001-of-00002.safetensors",
|
| 120 |
+
"model.visual.blocks.9.norm2.weight": "model-00001-of-00002.safetensors",
|
| 121 |
+
"model.visual.blocks.9.norm2.bias": "model-00001-of-00002.safetensors",
|
| 122 |
+
"model.visual.blocks.9.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 123 |
+
"model.visual.blocks.9.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 124 |
+
"model.visual.blocks.9.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 125 |
+
"model.visual.blocks.9.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 126 |
+
"model.visual.blocks.9.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 127 |
+
"model.visual.blocks.9.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 128 |
+
"model.visual.blocks.9.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 129 |
+
"model.visual.blocks.9.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 130 |
+
"model.visual.blocks.10.norm1.weight": "model-00001-of-00002.safetensors",
|
| 131 |
+
"model.visual.blocks.10.norm1.bias": "model-00001-of-00002.safetensors",
|
| 132 |
+
"model.visual.blocks.10.norm2.weight": "model-00001-of-00002.safetensors",
|
| 133 |
+
"model.visual.blocks.10.norm2.bias": "model-00001-of-00002.safetensors",
|
| 134 |
+
"model.visual.blocks.10.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 135 |
+
"model.visual.blocks.10.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 136 |
+
"model.visual.blocks.10.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 137 |
+
"model.visual.blocks.10.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 138 |
+
"model.visual.blocks.10.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 139 |
+
"model.visual.blocks.10.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 140 |
+
"model.visual.blocks.10.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 141 |
+
"model.visual.blocks.10.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 142 |
+
"model.visual.blocks.11.norm1.weight": "model-00001-of-00002.safetensors",
|
| 143 |
+
"model.visual.blocks.11.norm1.bias": "model-00001-of-00002.safetensors",
|
| 144 |
+
"model.visual.blocks.11.norm2.weight": "model-00001-of-00002.safetensors",
|
| 145 |
+
"model.visual.blocks.11.norm2.bias": "model-00001-of-00002.safetensors",
|
| 146 |
+
"model.visual.blocks.11.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 147 |
+
"model.visual.blocks.11.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 148 |
+
"model.visual.blocks.11.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 149 |
+
"model.visual.blocks.11.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 150 |
+
"model.visual.blocks.11.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 151 |
+
"model.visual.blocks.11.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 152 |
+
"model.visual.blocks.11.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 153 |
+
"model.visual.blocks.11.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 154 |
+
"model.visual.blocks.12.norm1.weight": "model-00001-of-00002.safetensors",
|
| 155 |
+
"model.visual.blocks.12.norm1.bias": "model-00001-of-00002.safetensors",
|
| 156 |
+
"model.visual.blocks.12.norm2.weight": "model-00001-of-00002.safetensors",
|
| 157 |
+
"model.visual.blocks.12.norm2.bias": "model-00001-of-00002.safetensors",
|
| 158 |
+
"model.visual.blocks.12.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 159 |
+
"model.visual.blocks.12.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 160 |
+
"model.visual.blocks.12.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 161 |
+
"model.visual.blocks.12.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 162 |
+
"model.visual.blocks.12.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 163 |
+
"model.visual.blocks.12.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 164 |
+
"model.visual.blocks.12.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 165 |
+
"model.visual.blocks.12.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 166 |
+
"model.visual.blocks.13.norm1.weight": "model-00001-of-00002.safetensors",
|
| 167 |
+
"model.visual.blocks.13.norm1.bias": "model-00001-of-00002.safetensors",
|
| 168 |
+
"model.visual.blocks.13.norm2.weight": "model-00001-of-00002.safetensors",
|
| 169 |
+
"model.visual.blocks.13.norm2.bias": "model-00001-of-00002.safetensors",
|
| 170 |
+
"model.visual.blocks.13.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 171 |
+
"model.visual.blocks.13.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 172 |
+
"model.visual.blocks.13.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 173 |
+
"model.visual.blocks.13.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 174 |
+
"model.visual.blocks.13.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 175 |
+
"model.visual.blocks.13.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 176 |
+
"model.visual.blocks.13.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 177 |
+
"model.visual.blocks.13.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 178 |
+
"model.visual.blocks.14.norm1.weight": "model-00001-of-00002.safetensors",
|
| 179 |
+
"model.visual.blocks.14.norm1.bias": "model-00001-of-00002.safetensors",
|
| 180 |
+
"model.visual.blocks.14.norm2.weight": "model-00001-of-00002.safetensors",
|
| 181 |
+
"model.visual.blocks.14.norm2.bias": "model-00001-of-00002.safetensors",
|
| 182 |
+
"model.visual.blocks.14.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 183 |
+
"model.visual.blocks.14.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 184 |
+
"model.visual.blocks.14.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 185 |
+
"model.visual.blocks.14.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 186 |
+
"model.visual.blocks.14.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 187 |
+
"model.visual.blocks.14.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 188 |
+
"model.visual.blocks.14.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 189 |
+
"model.visual.blocks.14.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 190 |
+
"model.visual.blocks.15.norm1.weight": "model-00001-of-00002.safetensors",
|
| 191 |
+
"model.visual.blocks.15.norm1.bias": "model-00001-of-00002.safetensors",
|
| 192 |
+
"model.visual.blocks.15.norm2.weight": "model-00001-of-00002.safetensors",
|
| 193 |
+
"model.visual.blocks.15.norm2.bias": "model-00001-of-00002.safetensors",
|
| 194 |
+
"model.visual.blocks.15.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 195 |
+
"model.visual.blocks.15.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 196 |
+
"model.visual.blocks.15.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 197 |
+
"model.visual.blocks.15.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 198 |
+
"model.visual.blocks.15.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 199 |
+
"model.visual.blocks.15.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 200 |
+
"model.visual.blocks.15.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 201 |
+
"model.visual.blocks.15.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 202 |
+
"model.visual.blocks.16.norm1.weight": "model-00001-of-00002.safetensors",
|
| 203 |
+
"model.visual.blocks.16.norm1.bias": "model-00001-of-00002.safetensors",
|
| 204 |
+
"model.visual.blocks.16.norm2.weight": "model-00001-of-00002.safetensors",
|
| 205 |
+
"model.visual.blocks.16.norm2.bias": "model-00001-of-00002.safetensors",
|
| 206 |
+
"model.visual.blocks.16.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 207 |
+
"model.visual.blocks.16.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 208 |
+
"model.visual.blocks.16.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 209 |
+
"model.visual.blocks.16.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 210 |
+
"model.visual.blocks.16.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 211 |
+
"model.visual.blocks.16.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 212 |
+
"model.visual.blocks.16.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 213 |
+
"model.visual.blocks.16.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 214 |
+
"model.visual.blocks.17.norm1.weight": "model-00001-of-00002.safetensors",
|
| 215 |
+
"model.visual.blocks.17.norm1.bias": "model-00001-of-00002.safetensors",
|
| 216 |
+
"model.visual.blocks.17.norm2.weight": "model-00001-of-00002.safetensors",
|
| 217 |
+
"model.visual.blocks.17.norm2.bias": "model-00001-of-00002.safetensors",
|
| 218 |
+
"model.visual.blocks.17.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 219 |
+
"model.visual.blocks.17.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 220 |
+
"model.visual.blocks.17.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 221 |
+
"model.visual.blocks.17.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 222 |
+
"model.visual.blocks.17.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 223 |
+
"model.visual.blocks.17.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 224 |
+
"model.visual.blocks.17.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 225 |
+
"model.visual.blocks.17.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 226 |
+
"model.visual.blocks.18.norm1.weight": "model-00001-of-00002.safetensors",
|
| 227 |
+
"model.visual.blocks.18.norm1.bias": "model-00001-of-00002.safetensors",
|
| 228 |
+
"model.visual.blocks.18.norm2.weight": "model-00001-of-00002.safetensors",
|
| 229 |
+
"model.visual.blocks.18.norm2.bias": "model-00001-of-00002.safetensors",
|
| 230 |
+
"model.visual.blocks.18.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 231 |
+
"model.visual.blocks.18.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 232 |
+
"model.visual.blocks.18.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 233 |
+
"model.visual.blocks.18.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 234 |
+
"model.visual.blocks.18.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 235 |
+
"model.visual.blocks.18.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 236 |
+
"model.visual.blocks.18.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 237 |
+
"model.visual.blocks.18.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 238 |
+
"model.visual.blocks.19.norm1.weight": "model-00001-of-00002.safetensors",
|
| 239 |
+
"model.visual.blocks.19.norm1.bias": "model-00001-of-00002.safetensors",
|
| 240 |
+
"model.visual.blocks.19.norm2.weight": "model-00001-of-00002.safetensors",
|
| 241 |
+
"model.visual.blocks.19.norm2.bias": "model-00001-of-00002.safetensors",
|
| 242 |
+
"model.visual.blocks.19.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 243 |
+
"model.visual.blocks.19.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 244 |
+
"model.visual.blocks.19.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 245 |
+
"model.visual.blocks.19.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 246 |
+
"model.visual.blocks.19.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 247 |
+
"model.visual.blocks.19.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 248 |
+
"model.visual.blocks.19.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 249 |
+
"model.visual.blocks.19.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 250 |
+
"model.visual.blocks.20.norm1.weight": "model-00001-of-00002.safetensors",
|
| 251 |
+
"model.visual.blocks.20.norm1.bias": "model-00001-of-00002.safetensors",
|
| 252 |
+
"model.visual.blocks.20.norm2.weight": "model-00001-of-00002.safetensors",
|
| 253 |
+
"model.visual.blocks.20.norm2.bias": "model-00001-of-00002.safetensors",
|
| 254 |
+
"model.visual.blocks.20.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 255 |
+
"model.visual.blocks.20.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 256 |
+
"model.visual.blocks.20.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 257 |
+
"model.visual.blocks.20.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 258 |
+
"model.visual.blocks.20.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 259 |
+
"model.visual.blocks.20.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 260 |
+
"model.visual.blocks.20.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 261 |
+
"model.visual.blocks.20.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 262 |
+
"model.visual.blocks.21.norm1.weight": "model-00001-of-00002.safetensors",
|
| 263 |
+
"model.visual.blocks.21.norm1.bias": "model-00001-of-00002.safetensors",
|
| 264 |
+
"model.visual.blocks.21.norm2.weight": "model-00001-of-00002.safetensors",
|
| 265 |
+
"model.visual.blocks.21.norm2.bias": "model-00001-of-00002.safetensors",
|
| 266 |
+
"model.visual.blocks.21.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 267 |
+
"model.visual.blocks.21.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 268 |
+
"model.visual.blocks.21.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 269 |
+
"model.visual.blocks.21.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 270 |
+
"model.visual.blocks.21.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 271 |
+
"model.visual.blocks.21.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 272 |
+
"model.visual.blocks.21.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 273 |
+
"model.visual.blocks.21.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 274 |
+
"model.visual.blocks.22.norm1.weight": "model-00001-of-00002.safetensors",
|
| 275 |
+
"model.visual.blocks.22.norm1.bias": "model-00001-of-00002.safetensors",
|
| 276 |
+
"model.visual.blocks.22.norm2.weight": "model-00001-of-00002.safetensors",
|
| 277 |
+
"model.visual.blocks.22.norm2.bias": "model-00001-of-00002.safetensors",
|
| 278 |
+
"model.visual.blocks.22.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 279 |
+
"model.visual.blocks.22.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 280 |
+
"model.visual.blocks.22.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 281 |
+
"model.visual.blocks.22.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 282 |
+
"model.visual.blocks.22.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 283 |
+
"model.visual.blocks.22.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 284 |
+
"model.visual.blocks.22.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 285 |
+
"model.visual.blocks.22.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 286 |
+
"model.visual.blocks.23.norm1.weight": "model-00001-of-00002.safetensors",
|
| 287 |
+
"model.visual.blocks.23.norm1.bias": "model-00001-of-00002.safetensors",
|
| 288 |
+
"model.visual.blocks.23.norm2.weight": "model-00001-of-00002.safetensors",
|
| 289 |
+
"model.visual.blocks.23.norm2.bias": "model-00001-of-00002.safetensors",
|
| 290 |
+
"model.visual.blocks.23.attn.qkv.weight": "model-00001-of-00002.safetensors",
|
| 291 |
+
"model.visual.blocks.23.attn.qkv.bias": "model-00001-of-00002.safetensors",
|
| 292 |
+
"model.visual.blocks.23.attn.proj.weight": "model-00001-of-00002.safetensors",
|
| 293 |
+
"model.visual.blocks.23.attn.proj.bias": "model-00001-of-00002.safetensors",
|
| 294 |
+
"model.visual.blocks.23.mlp.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 295 |
+
"model.visual.blocks.23.mlp.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 296 |
+
"model.visual.blocks.23.mlp.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 297 |
+
"model.visual.blocks.23.mlp.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 298 |
+
"model.visual.merger.norm.weight": "model-00001-of-00002.safetensors",
|
| 299 |
+
"model.visual.merger.norm.bias": "model-00001-of-00002.safetensors",
|
| 300 |
+
"model.visual.merger.linear_fc1.weight": "model-00001-of-00002.safetensors",
|
| 301 |
+
"model.visual.merger.linear_fc1.bias": "model-00001-of-00002.safetensors",
|
| 302 |
+
"model.visual.merger.linear_fc2.weight": "model-00001-of-00002.safetensors",
|
| 303 |
+
"model.visual.merger.linear_fc2.bias": "model-00001-of-00002.safetensors",
|
| 304 |
+
"model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 305 |
+
"model.language_model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 306 |
+
"model.language_model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 307 |
+
"model.language_model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 308 |
+
"model.language_model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 309 |
+
"model.language_model.layers.0.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 310 |
+
"model.language_model.layers.0.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 311 |
+
"model.language_model.layers.0.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 312 |
+
"model.language_model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 313 |
+
"model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 314 |
+
"model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 315 |
+
"model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 316 |
+
"model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 317 |
+
"model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 318 |
+
"model.language_model.layers.1.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 319 |
+
"model.language_model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 320 |
+
"model.language_model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 321 |
+
"model.language_model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 322 |
+
"model.language_model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 323 |
+
"model.language_model.layers.1.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 324 |
+
"model.language_model.layers.1.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 325 |
+
"model.language_model.layers.1.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 326 |
+
"model.language_model.layers.1.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 327 |
+
"model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 328 |
+
"model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 329 |
+
"model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 330 |
+
"model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 331 |
+
"model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 332 |
+
"model.language_model.layers.2.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 333 |
+
"model.language_model.layers.2.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 334 |
+
"model.language_model.layers.2.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 335 |
+
"model.language_model.layers.2.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 336 |
+
"model.language_model.layers.2.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 337 |
+
"model.language_model.layers.2.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 338 |
+
"model.language_model.layers.2.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 339 |
+
"model.language_model.layers.2.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 340 |
+
"model.language_model.layers.2.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 341 |
+
"model.language_model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 342 |
+
"model.language_model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 343 |
+
"model.language_model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 344 |
+
"model.language_model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 345 |
+
"model.language_model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 346 |
+
"model.language_model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 347 |
+
"model.language_model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 348 |
+
"model.language_model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 349 |
+
"model.language_model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 350 |
+
"model.language_model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 351 |
+
"model.language_model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 352 |
+
"model.language_model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 353 |
+
"model.language_model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 354 |
+
"model.language_model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 355 |
+
"model.language_model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 356 |
+
"model.language_model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 357 |
+
"model.language_model.layers.4.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 358 |
+
"model.language_model.layers.4.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 359 |
+
"model.language_model.layers.4.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 360 |
+
"model.language_model.layers.4.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 361 |
+
"model.language_model.layers.4.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 362 |
+
"model.language_model.layers.4.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 363 |
+
"model.language_model.layers.4.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 364 |
+
"model.language_model.layers.4.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 365 |
+
"model.language_model.layers.4.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 366 |
+
"model.language_model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 367 |
+
"model.language_model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 368 |
+
"model.language_model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 369 |
+
"model.language_model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 370 |
+
"model.language_model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 371 |
+
"model.language_model.layers.5.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 372 |
+
"model.language_model.layers.5.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 373 |
+
"model.language_model.layers.5.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 374 |
+
"model.language_model.layers.5.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 375 |
+
"model.language_model.layers.5.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 376 |
+
"model.language_model.layers.5.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 377 |
+
"model.language_model.layers.5.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 378 |
+
"model.language_model.layers.5.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 379 |
+
"model.language_model.layers.5.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 380 |
+
"model.language_model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 381 |
+
"model.language_model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 382 |
+
"model.language_model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 383 |
+
"model.language_model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 384 |
+
"model.language_model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 385 |
+
"model.language_model.layers.6.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 386 |
+
"model.language_model.layers.6.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 387 |
+
"model.language_model.layers.6.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 388 |
+
"model.language_model.layers.6.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 389 |
+
"model.language_model.layers.6.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 390 |
+
"model.language_model.layers.6.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 391 |
+
"model.language_model.layers.6.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 392 |
+
"model.language_model.layers.6.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 393 |
+
"model.language_model.layers.6.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 394 |
+
"model.language_model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 395 |
+
"model.language_model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 396 |
+
"model.language_model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 397 |
+
"model.language_model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 398 |
+
"model.language_model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 399 |
+
"model.language_model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 400 |
+
"model.language_model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 401 |
+
"model.language_model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 402 |
+
"model.language_model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 403 |
+
"model.language_model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 404 |
+
"model.language_model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 405 |
+
"model.language_model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 406 |
+
"model.language_model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 407 |
+
"model.language_model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 408 |
+
"model.language_model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 409 |
+
"model.language_model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 410 |
+
"model.language_model.layers.8.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 411 |
+
"model.language_model.layers.8.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 412 |
+
"model.language_model.layers.8.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 413 |
+
"model.language_model.layers.8.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 414 |
+
"model.language_model.layers.8.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 415 |
+
"model.language_model.layers.8.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 416 |
+
"model.language_model.layers.8.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 417 |
+
"model.language_model.layers.8.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 418 |
+
"model.language_model.layers.8.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 419 |
+
"model.language_model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 420 |
+
"model.language_model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 421 |
+
"model.language_model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 422 |
+
"model.language_model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 423 |
+
"model.language_model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 424 |
+
"model.language_model.layers.9.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 425 |
+
"model.language_model.layers.9.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 426 |
+
"model.language_model.layers.9.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 427 |
+
"model.language_model.layers.9.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 428 |
+
"model.language_model.layers.9.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 429 |
+
"model.language_model.layers.9.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 430 |
+
"model.language_model.layers.9.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 431 |
+
"model.language_model.layers.9.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 432 |
+
"model.language_model.layers.9.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 433 |
+
"model.language_model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 434 |
+
"model.language_model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 435 |
+
"model.language_model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 436 |
+
"model.language_model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 437 |
+
"model.language_model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 438 |
+
"model.language_model.layers.10.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 439 |
+
"model.language_model.layers.10.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 440 |
+
"model.language_model.layers.10.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 441 |
+
"model.language_model.layers.10.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 442 |
+
"model.language_model.layers.10.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 443 |
+
"model.language_model.layers.10.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 444 |
+
"model.language_model.layers.10.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 445 |
+
"model.language_model.layers.10.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 446 |
+
"model.language_model.layers.10.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 447 |
+
"model.language_model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 448 |
+
"model.language_model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 449 |
+
"model.language_model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 450 |
+
"model.language_model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 451 |
+
"model.language_model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 452 |
+
"model.language_model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 453 |
+
"model.language_model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 454 |
+
"model.language_model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 455 |
+
"model.language_model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 456 |
+
"model.language_model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
|
| 457 |
+
"model.language_model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
|
| 458 |
+
"model.language_model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 459 |
+
"model.language_model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 460 |
+
"model.language_model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 461 |
+
"model.language_model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 462 |
+
"model.language_model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 463 |
+
"model.language_model.layers.12.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 464 |
+
"model.language_model.layers.12.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 465 |
+
"model.language_model.layers.12.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 466 |
+
"model.language_model.layers.12.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 467 |
+
"model.language_model.layers.12.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 468 |
+
"model.language_model.layers.12.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 469 |
+
"model.language_model.layers.12.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 470 |
+
"model.language_model.layers.12.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 471 |
+
"model.language_model.layers.12.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 472 |
+
"model.language_model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 473 |
+
"model.language_model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 474 |
+
"model.language_model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 475 |
+
"model.language_model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 476 |
+
"model.language_model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 477 |
+
"model.language_model.layers.13.linear_attn.in_proj_qkv.weight": "model-00001-of-00002.safetensors",
|
| 478 |
+
"model.language_model.layers.13.linear_attn.in_proj_z.weight": "model-00001-of-00002.safetensors",
|
| 479 |
+
"model.language_model.layers.13.linear_attn.in_proj_b.weight": "model-00001-of-00002.safetensors",
|
| 480 |
+
"model.language_model.layers.13.linear_attn.in_proj_a.weight": "model-00001-of-00002.safetensors",
|
| 481 |
+
"model.language_model.layers.13.linear_attn.conv1d.weight": "model-00001-of-00002.safetensors",
|
| 482 |
+
"model.language_model.layers.13.linear_attn.dt_bias": "model-00001-of-00002.safetensors",
|
| 483 |
+
"model.language_model.layers.13.linear_attn.A_log": "model-00001-of-00002.safetensors",
|
| 484 |
+
"model.language_model.layers.13.linear_attn.norm.weight": "model-00001-of-00002.safetensors",
|
| 485 |
+
"model.language_model.layers.13.linear_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 486 |
+
"model.language_model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 487 |
+
"model.language_model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 488 |
+
"model.language_model.layers.13.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 489 |
+
"model.language_model.layers.13.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 490 |
+
"model.language_model.layers.13.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 491 |
+
"model.language_model.layers.14.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 492 |
+
"model.language_model.layers.14.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 493 |
+
"model.language_model.layers.14.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 494 |
+
"model.language_model.layers.14.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 495 |
+
"model.language_model.layers.14.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 496 |
+
"model.language_model.layers.14.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 497 |
+
"model.language_model.layers.14.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 498 |
+
"model.language_model.layers.14.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 499 |
+
"model.language_model.layers.14.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 500 |
+
"model.language_model.layers.14.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 501 |
+
"model.language_model.layers.14.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 502 |
+
"model.language_model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 503 |
+
"model.language_model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 504 |
+
"model.language_model.layers.14.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 505 |
+
"model.language_model.layers.15.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 506 |
+
"model.language_model.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 507 |
+
"model.language_model.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 508 |
+
"model.language_model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 509 |
+
"model.language_model.layers.15.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 510 |
+
"model.language_model.layers.15.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 511 |
+
"model.language_model.layers.15.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 512 |
+
"model.language_model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 513 |
+
"model.language_model.layers.15.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 514 |
+
"model.language_model.layers.15.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 515 |
+
"model.language_model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 516 |
+
"model.language_model.layers.16.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 517 |
+
"model.language_model.layers.16.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 518 |
+
"model.language_model.layers.16.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 519 |
+
"model.language_model.layers.16.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 520 |
+
"model.language_model.layers.16.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 521 |
+
"model.language_model.layers.16.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 522 |
+
"model.language_model.layers.16.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 523 |
+
"model.language_model.layers.16.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 524 |
+
"model.language_model.layers.16.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 525 |
+
"model.language_model.layers.16.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 526 |
+
"model.language_model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 527 |
+
"model.language_model.layers.16.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 528 |
+
"model.language_model.layers.16.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 529 |
+
"model.language_model.layers.16.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 530 |
+
"model.language_model.layers.17.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 531 |
+
"model.language_model.layers.17.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 532 |
+
"model.language_model.layers.17.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 533 |
+
"model.language_model.layers.17.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 534 |
+
"model.language_model.layers.17.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 535 |
+
"model.language_model.layers.17.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 536 |
+
"model.language_model.layers.17.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 537 |
+
"model.language_model.layers.17.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 538 |
+
"model.language_model.layers.17.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 539 |
+
"model.language_model.layers.17.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 540 |
+
"model.language_model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 541 |
+
"model.language_model.layers.17.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 542 |
+
"model.language_model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 543 |
+
"model.language_model.layers.17.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 544 |
+
"model.language_model.layers.18.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 545 |
+
"model.language_model.layers.18.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 546 |
+
"model.language_model.layers.18.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 547 |
+
"model.language_model.layers.18.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 548 |
+
"model.language_model.layers.18.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 549 |
+
"model.language_model.layers.18.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 550 |
+
"model.language_model.layers.18.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 551 |
+
"model.language_model.layers.18.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 552 |
+
"model.language_model.layers.18.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 553 |
+
"model.language_model.layers.18.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 554 |
+
"model.language_model.layers.18.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 555 |
+
"model.language_model.layers.18.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 556 |
+
"model.language_model.layers.18.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 557 |
+
"model.language_model.layers.18.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 558 |
+
"model.language_model.layers.19.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 559 |
+
"model.language_model.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 560 |
+
"model.language_model.layers.19.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 561 |
+
"model.language_model.layers.19.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 562 |
+
"model.language_model.layers.19.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 563 |
+
"model.language_model.layers.19.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 564 |
+
"model.language_model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 565 |
+
"model.language_model.layers.19.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 566 |
+
"model.language_model.layers.19.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 567 |
+
"model.language_model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 568 |
+
"model.language_model.layers.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 569 |
+
"model.language_model.layers.20.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 570 |
+
"model.language_model.layers.20.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 571 |
+
"model.language_model.layers.20.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 572 |
+
"model.language_model.layers.20.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 573 |
+
"model.language_model.layers.20.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 574 |
+
"model.language_model.layers.20.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 575 |
+
"model.language_model.layers.20.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 576 |
+
"model.language_model.layers.20.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 577 |
+
"model.language_model.layers.20.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 578 |
+
"model.language_model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 579 |
+
"model.language_model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 580 |
+
"model.language_model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 581 |
+
"model.language_model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 582 |
+
"model.language_model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 583 |
+
"model.language_model.layers.21.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 584 |
+
"model.language_model.layers.21.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 585 |
+
"model.language_model.layers.21.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 586 |
+
"model.language_model.layers.21.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 587 |
+
"model.language_model.layers.21.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 588 |
+
"model.language_model.layers.21.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 589 |
+
"model.language_model.layers.21.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 590 |
+
"model.language_model.layers.21.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 591 |
+
"model.language_model.layers.21.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 592 |
+
"model.language_model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 593 |
+
"model.language_model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 594 |
+
"model.language_model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 595 |
+
"model.language_model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 596 |
+
"model.language_model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 597 |
+
"model.language_model.layers.22.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 598 |
+
"model.language_model.layers.22.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 599 |
+
"model.language_model.layers.22.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 600 |
+
"model.language_model.layers.22.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 601 |
+
"model.language_model.layers.22.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 602 |
+
"model.language_model.layers.22.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 603 |
+
"model.language_model.layers.22.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 604 |
+
"model.language_model.layers.22.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 605 |
+
"model.language_model.layers.22.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 606 |
+
"model.language_model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 607 |
+
"model.language_model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 608 |
+
"model.language_model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 609 |
+
"model.language_model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 610 |
+
"model.language_model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 611 |
+
"model.language_model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 612 |
+
"model.language_model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 613 |
+
"model.language_model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 614 |
+
"model.language_model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 615 |
+
"model.language_model.layers.23.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 616 |
+
"model.language_model.layers.23.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 617 |
+
"model.language_model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 618 |
+
"model.language_model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 619 |
+
"model.language_model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 620 |
+
"model.language_model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 621 |
+
"model.language_model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 622 |
+
"model.language_model.layers.24.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 623 |
+
"model.language_model.layers.24.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 624 |
+
"model.language_model.layers.24.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 625 |
+
"model.language_model.layers.24.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 626 |
+
"model.language_model.layers.24.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 627 |
+
"model.language_model.layers.24.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 628 |
+
"model.language_model.layers.24.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 629 |
+
"model.language_model.layers.24.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 630 |
+
"model.language_model.layers.24.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 631 |
+
"model.language_model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 632 |
+
"model.language_model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 633 |
+
"model.language_model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 634 |
+
"model.language_model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 635 |
+
"model.language_model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 636 |
+
"model.language_model.layers.25.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 637 |
+
"model.language_model.layers.25.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 638 |
+
"model.language_model.layers.25.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 639 |
+
"model.language_model.layers.25.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 640 |
+
"model.language_model.layers.25.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 641 |
+
"model.language_model.layers.25.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 642 |
+
"model.language_model.layers.25.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 643 |
+
"model.language_model.layers.25.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 644 |
+
"model.language_model.layers.25.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 645 |
+
"model.language_model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 646 |
+
"model.language_model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 647 |
+
"model.language_model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 648 |
+
"model.language_model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 649 |
+
"model.language_model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 650 |
+
"model.language_model.layers.26.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 651 |
+
"model.language_model.layers.26.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 652 |
+
"model.language_model.layers.26.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 653 |
+
"model.language_model.layers.26.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 654 |
+
"model.language_model.layers.26.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 655 |
+
"model.language_model.layers.26.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 656 |
+
"model.language_model.layers.26.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 657 |
+
"model.language_model.layers.26.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 658 |
+
"model.language_model.layers.26.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 659 |
+
"model.language_model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 660 |
+
"model.language_model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 661 |
+
"model.language_model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 662 |
+
"model.language_model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 663 |
+
"model.language_model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 664 |
+
"model.language_model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 665 |
+
"model.language_model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 666 |
+
"model.language_model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 667 |
+
"model.language_model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 668 |
+
"model.language_model.layers.27.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 669 |
+
"model.language_model.layers.27.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 670 |
+
"model.language_model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 671 |
+
"model.language_model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 672 |
+
"model.language_model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 673 |
+
"model.language_model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 674 |
+
"model.language_model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 675 |
+
"model.language_model.layers.28.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 676 |
+
"model.language_model.layers.28.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 677 |
+
"model.language_model.layers.28.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 678 |
+
"model.language_model.layers.28.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 679 |
+
"model.language_model.layers.28.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 680 |
+
"model.language_model.layers.28.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 681 |
+
"model.language_model.layers.28.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 682 |
+
"model.language_model.layers.28.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 683 |
+
"model.language_model.layers.28.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 684 |
+
"model.language_model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 685 |
+
"model.language_model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 686 |
+
"model.language_model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 687 |
+
"model.language_model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 688 |
+
"model.language_model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 689 |
+
"model.language_model.layers.29.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 690 |
+
"model.language_model.layers.29.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 691 |
+
"model.language_model.layers.29.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 692 |
+
"model.language_model.layers.29.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 693 |
+
"model.language_model.layers.29.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 694 |
+
"model.language_model.layers.29.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 695 |
+
"model.language_model.layers.29.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 696 |
+
"model.language_model.layers.29.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 697 |
+
"model.language_model.layers.29.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 698 |
+
"model.language_model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 699 |
+
"model.language_model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 700 |
+
"model.language_model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 701 |
+
"model.language_model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 702 |
+
"model.language_model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 703 |
+
"model.language_model.layers.30.linear_attn.in_proj_qkv.weight": "model-00002-of-00002.safetensors",
|
| 704 |
+
"model.language_model.layers.30.linear_attn.in_proj_z.weight": "model-00002-of-00002.safetensors",
|
| 705 |
+
"model.language_model.layers.30.linear_attn.in_proj_b.weight": "model-00002-of-00002.safetensors",
|
| 706 |
+
"model.language_model.layers.30.linear_attn.in_proj_a.weight": "model-00002-of-00002.safetensors",
|
| 707 |
+
"model.language_model.layers.30.linear_attn.conv1d.weight": "model-00002-of-00002.safetensors",
|
| 708 |
+
"model.language_model.layers.30.linear_attn.dt_bias": "model-00002-of-00002.safetensors",
|
| 709 |
+
"model.language_model.layers.30.linear_attn.A_log": "model-00002-of-00002.safetensors",
|
| 710 |
+
"model.language_model.layers.30.linear_attn.norm.weight": "model-00002-of-00002.safetensors",
|
| 711 |
+
"model.language_model.layers.30.linear_attn.out_proj.weight": "model-00002-of-00002.safetensors",
|
| 712 |
+
"model.language_model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 713 |
+
"model.language_model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 714 |
+
"model.language_model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 715 |
+
"model.language_model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 716 |
+
"model.language_model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 717 |
+
"model.language_model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 718 |
+
"model.language_model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 719 |
+
"model.language_model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 720 |
+
"model.language_model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 721 |
+
"model.language_model.layers.31.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 722 |
+
"model.language_model.layers.31.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 723 |
+
"model.language_model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 724 |
+
"model.language_model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 725 |
+
"model.language_model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 726 |
+
"model.language_model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 727 |
+
"model.language_model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 728 |
+
"mtp.layers.0.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
| 729 |
+
"mtp.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
| 730 |
+
"mtp.layers.0.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
| 731 |
+
"mtp.layers.0.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 732 |
+
"mtp.layers.0.self_attn.q_norm.weight": "model-00002-of-00002.safetensors",
|
| 733 |
+
"mtp.layers.0.self_attn.k_norm.weight": "model-00002-of-00002.safetensors",
|
| 734 |
+
"mtp.layers.0.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 735 |
+
"mtp.layers.0.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 736 |
+
"mtp.layers.0.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 737 |
+
"mtp.layers.0.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 738 |
+
"mtp.layers.0.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 739 |
+
"mtp.pre_fc_norm_embedding.weight": "model-00002-of-00002.safetensors",
|
| 740 |
+
"mtp.pre_fc_norm_hidden.weight": "model-00002-of-00002.safetensors",
|
| 741 |
+
"mtp.fc.weight": "model-00002-of-00002.safetensors",
|
| 742 |
+
"mtp.norm.weight": "model-00002-of-00002.safetensors",
|
| 743 |
+
"model.language_model.norm.weight": "model-00002-of-00002.safetensors"
|
| 744 |
+
}
|
| 745 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
release_metadata.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"model_name":"ChartGalaxy++ Image2JSON","status":"release","checkpoint_step":100000,"architecture":"Qwen3_5ForConditionalGeneration","backbone_family":"Qwen3.5-4B","weights_format":"safetensors","model_files":[{"path":"chat_template.jinja","sha256":"a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715","size":7756},{"path":"config.json","sha256":"881208c0f3f48d8fe920b4caf1bac23b4e2d351557bf2c1314b2040ceb4c6bba","size":2852},{"path":"model-00001-of-00002.safetensors","sha256":"39c4d658c5e83be2ed19b25e80818f231eff2c147a88398fb6df239a9916326e","size":4973340248},{"path":"model-00002-of-00002.safetensors","sha256":"43a5930fa5f7af81ad51894836f71f124a4d4ef1a21cc3e8c6c75beb8cf14865","size":4346480856},{"path":"model.safetensors.index.json","sha256":"ad380c647e34236cf9f313ff673781e2fca1aaff85af6117727762224f019993","size":67340},{"path":"preprocessor_config.json","sha256":"27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516","size":390},{"path":"processor_config.json","sha256":"d89ef49ce9cd37fbf510158e13c1ef063d9286411c1ec9049932dbe0487143b1","size":1191},{"path":"tokenizer.json","sha256":"06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523","size":19989325},{"path":"tokenizer_config.json","sha256":"792fa3f0cb88b111e54ef3134c873531008c4df471d108da17903426e308aa7b","size":1165}],"model_file_bytes":9339891123,"checkpoint_export_file_hashes_match":true,"structure":{"tensor_count":738,"tensor_dtypes":{"BF16":738},"stored_scalar_count":{"BF16":4659865088},"tensor_bytes":9319730176,"weight_map_complete":true,"tensor_offsets_contiguous_and_in_bounds":true,"header_metadata":null},"model_license_status":"owner_selected_cc_by_nc_4_0","local_gpu_inference_smoke":"passed_standalone_example","paper_results_percent":{"element_f1":89.4,"hierarchy_f1":85.1,"spatial_f1":88.0},"paper_test_records":1000,"license":"cc-by-nc-4.0","local_gpu_inference_validation":"smoke/validation.json","spatial_scoring_revision":"geometric-boolean-proximity-v1"}
|
requirements-smoke.txt
ADDED
|
@@ -0,0 +1,182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
agent-detector==2.0.0
|
| 2 |
+
aiohappyeyeballs==2.7.1
|
| 3 |
+
aiohttp==3.14.3
|
| 4 |
+
aiosignal==1.4.0
|
| 5 |
+
annotated-doc==0.0.5
|
| 6 |
+
annotated-types==0.8.0
|
| 7 |
+
anthropic==1.8.0
|
| 8 |
+
anyio==4.15.1
|
| 9 |
+
apache-tvm-ffi==0.1.9
|
| 10 |
+
astor==0.8.1
|
| 11 |
+
attrs==26.1.0
|
| 12 |
+
blake3==1.0.9
|
| 13 |
+
cachetools==7.2.0
|
| 14 |
+
cbor2==6.1.4
|
| 15 |
+
certifi==2026.7.22
|
| 16 |
+
cffi==2.1.1
|
| 17 |
+
charset-normalizer==3.5.1
|
| 18 |
+
click==8.5.0
|
| 19 |
+
cloudpickle==3.1.2
|
| 20 |
+
compressed-tensors==0.15.0.1
|
| 21 |
+
cryptography==50.0.1
|
| 22 |
+
cuda-bindings==13.4.3
|
| 23 |
+
cuda-pathfinder==1.8.2
|
| 24 |
+
cuda-tile==1.6.0
|
| 25 |
+
cuda-toolkit==13.0.2
|
| 26 |
+
depyf==0.20.0
|
| 27 |
+
detect-installer==0.2.1
|
| 28 |
+
dill==0.4.1
|
| 29 |
+
diskcache==5.6.3
|
| 30 |
+
dnspython==2.8.0
|
| 31 |
+
docstring-parser==0.18.0
|
| 32 |
+
einops==0.8.2
|
| 33 |
+
email-validator==2.3.0
|
| 34 |
+
fastapi==0.141.1
|
| 35 |
+
fastapi-cli==0.0.32
|
| 36 |
+
fastapi-cloud-cli==0.26.0
|
| 37 |
+
fastar==0.12.0
|
| 38 |
+
fastsafetensors==0.4.0
|
| 39 |
+
filelock==4.0.3
|
| 40 |
+
flashinfer-cubin==0.6.8.post1
|
| 41 |
+
flashinfer-python==0.6.8.post1
|
| 42 |
+
frozenlist==1.8.0
|
| 43 |
+
fsspec==2026.9.0
|
| 44 |
+
gguf==0.19.0
|
| 45 |
+
googleapis-common-protos==1.75.3
|
| 46 |
+
grpcio==1.84.0
|
| 47 |
+
h11==0.16.0
|
| 48 |
+
hf-xet==1.6.0
|
| 49 |
+
httpcore==1.0.9
|
| 50 |
+
httpcore2==2.13.1
|
| 51 |
+
httptools==0.8.0
|
| 52 |
+
httpx==0.28.1
|
| 53 |
+
httpx2==2.13.1
|
| 54 |
+
huggingface-hub==1.33.0
|
| 55 |
+
idna==3.20
|
| 56 |
+
ijson==3.5.1
|
| 57 |
+
interegular==0.3.3
|
| 58 |
+
jinja2==3.1.6
|
| 59 |
+
jiter==0.17.0
|
| 60 |
+
jmespath==1.1.0
|
| 61 |
+
jsonschema==4.26.0
|
| 62 |
+
jsonschema-specifications==2025.9.1
|
| 63 |
+
lark==1.2.2
|
| 64 |
+
llguidance==1.3.0
|
| 65 |
+
llvmlite==0.47.0
|
| 66 |
+
lm-format-enforcer==0.11.3
|
| 67 |
+
loguru==0.7.3
|
| 68 |
+
markdown-it-py==4.2.0
|
| 69 |
+
markupsafe==3.0.3
|
| 70 |
+
mcp==2.2.0
|
| 71 |
+
mcp-types==2.2.0
|
| 72 |
+
mdurl==0.1.2
|
| 73 |
+
mistral-common==1.12.0
|
| 74 |
+
ml-dtypes==0.6.0
|
| 75 |
+
model-hosting-container-standards==0.1.16
|
| 76 |
+
mpmath==1.3.0
|
| 77 |
+
msgspec==0.21.1
|
| 78 |
+
multidict==6.9.1
|
| 79 |
+
networkx==3.6.1
|
| 80 |
+
ninja==1.13.2
|
| 81 |
+
numba==0.65.0
|
| 82 |
+
numpy==2.3.5
|
| 83 |
+
nvidia-cublas==13.1.0.3
|
| 84 |
+
nvidia-cuda-cupti==13.0.85
|
| 85 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 86 |
+
nvidia-cuda-runtime==13.0.96
|
| 87 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 88 |
+
nvidia-cudnn-frontend==1.18.0
|
| 89 |
+
nvidia-cufft==12.0.0.61
|
| 90 |
+
nvidia-cufile==1.15.1.6
|
| 91 |
+
nvidia-curand==10.4.0.35
|
| 92 |
+
nvidia-cusolver==12.0.4.66
|
| 93 |
+
nvidia-cusparse==12.6.3.3
|
| 94 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 95 |
+
nvidia-cutlass-dsl==4.8.0
|
| 96 |
+
nvidia-cutlass-dsl-libs-base==4.8.0
|
| 97 |
+
nvidia-cutlass-dsl-libs-core==4.8.0
|
| 98 |
+
nvidia-cutlass-dsl-libs-cu12==4.8.0
|
| 99 |
+
nvidia-ml-py==13.610.43
|
| 100 |
+
nvidia-nccl-cu13==2.28.9
|
| 101 |
+
nvidia-nvjitlink==13.0.88
|
| 102 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 103 |
+
nvidia-nvtx==13.0.85
|
| 104 |
+
openai==3.19.2
|
| 105 |
+
openai-harmony==0.0.8
|
| 106 |
+
opencv-python-headless==5.0.0.93
|
| 107 |
+
opentelemetry-api==1.44.0
|
| 108 |
+
opentelemetry-exporter-otlp==1.44.0
|
| 109 |
+
opentelemetry-exporter-otlp-proto-common==1.44.0
|
| 110 |
+
opentelemetry-exporter-otlp-proto-grpc==1.44.0
|
| 111 |
+
opentelemetry-exporter-otlp-proto-http==1.44.0
|
| 112 |
+
opentelemetry-proto==1.44.0
|
| 113 |
+
opentelemetry-sdk==1.44.0
|
| 114 |
+
opentelemetry-semantic-conventions==0.65b0
|
| 115 |
+
opentelemetry-semantic-conventions-ai==0.5.1
|
| 116 |
+
outlines-core==0.2.14
|
| 117 |
+
packaging==26.3
|
| 118 |
+
partial-json-parser==0.2.1.1.post7
|
| 119 |
+
pillow==12.3.0
|
| 120 |
+
prometheus-client==0.26.0
|
| 121 |
+
prometheus-fastapi-instrumentator==8.1.0
|
| 122 |
+
propcache==0.5.4
|
| 123 |
+
protobuf==7.36.2
|
| 124 |
+
psutil==7.2.2
|
| 125 |
+
py-cpuinfo==9.0.0
|
| 126 |
+
pybase64==1.5.0
|
| 127 |
+
pycountry==26.2.16
|
| 128 |
+
pycparser==3.0
|
| 129 |
+
pydantic==2.13.5
|
| 130 |
+
pydantic-core==2.46.5
|
| 131 |
+
pydantic-extra-types==2.11.1
|
| 132 |
+
pydantic-settings==2.15.0
|
| 133 |
+
pygments==2.21.0
|
| 134 |
+
pyjwt==2.15.0
|
| 135 |
+
python-dotenv==1.2.3
|
| 136 |
+
python-json-logger==4.2.0
|
| 137 |
+
python-multipart==0.0.32
|
| 138 |
+
pyyaml==6.0.3
|
| 139 |
+
pyzmq==27.2.0
|
| 140 |
+
quack-kernels==0.6.5
|
| 141 |
+
referencing==0.37.0
|
| 142 |
+
regex==2026.9.10
|
| 143 |
+
requests==2.34.2
|
| 144 |
+
rich==15.0.0
|
| 145 |
+
rich-toolkit==0.20.5
|
| 146 |
+
rignore==0.8.1
|
| 147 |
+
rpds-py==2026.6.3
|
| 148 |
+
safetensors==0.8.0
|
| 149 |
+
sentencepiece==0.2.2
|
| 150 |
+
sentry-sdk==2.70.0
|
| 151 |
+
setproctitle==1.3.7
|
| 152 |
+
setuptools==81.0.0
|
| 153 |
+
shellingham==1.5.4
|
| 154 |
+
sniffio==1.3.1
|
| 155 |
+
sse-starlette==3.4.11
|
| 156 |
+
starlette==1.7.0
|
| 157 |
+
supervisor==4.3.0
|
| 158 |
+
sympy==1.14.0
|
| 159 |
+
tabulate==0.10.0
|
| 160 |
+
tiktoken==0.14.0
|
| 161 |
+
tilelang==0.1.9
|
| 162 |
+
tokenizers==0.22.2
|
| 163 |
+
torch==2.11.0
|
| 164 |
+
torch-c-dlpack-ext==0.1.5
|
| 165 |
+
torchaudio==2.11.0
|
| 166 |
+
torchvision==0.26.0
|
| 167 |
+
tqdm==4.70.1
|
| 168 |
+
transformers==5.12.1
|
| 169 |
+
triton==3.6.0
|
| 170 |
+
truststore==0.10.4
|
| 171 |
+
typer==0.27.2
|
| 172 |
+
typing-extensions==4.16.0
|
| 173 |
+
typing-inspection==0.4.4
|
| 174 |
+
urllib3==2.8.0
|
| 175 |
+
uvicorn==0.53.0
|
| 176 |
+
uvloop==0.22.1
|
| 177 |
+
vllm==0.20.2
|
| 178 |
+
watchfiles==1.3.0
|
| 179 |
+
websockets==17.1
|
| 180 |
+
xgrammar==0.1.32
|
| 181 |
+
yarl==1.25.1
|
| 182 |
+
z3-solver==4.15.4.0
|
smoke/prediction.json
ADDED
|
@@ -0,0 +1,2450 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"high_level_description": "Frame the piece as a landscape digital vector graphic infographic led by a horizontal group bar chart. The chart shows durability scores for <text 6> and <text 14> materials over time.\n\nThe composition assigns a dominant region at the right side to <chart 5>. Inside it, the quantitative marks, labels, and structural guides remain visually coordinated.\n\nUse <text 2> and <text 3> as the editorial entry point in the upper left, with a clear hierarchy of scale, weight, and spacing. Additional context comes from <image 124> at the middle left, <panel 125> at the lower left, <text 128> at the lower left, and <shape 4> at the upper left.\n\nUse clean, modern editorial design with a focus on data clarity against a flat full-canvas field. Use even graphic lighting with subtle shadow effects for local depth and clear layer separation.",
|
| 3 |
+
"style_description": {
|
| 4 |
+
"aesthetics": "Clean, modern editorial design with a focus on data clarity. Uses a light neutral background with high-contrast text and distinct color coding for data series. Minimalist data visualization with a focus on readability and hierarchy.",
|
| 5 |
+
"lighting": "Flat, even lighting typical of digital editorial graphics. or gradients on text or background.",
|
| 6 |
+
"medium": "Digital vector illustration and typography.",
|
| 7 |
+
"photo": null,
|
| 8 |
+
"art_style": null,
|
| 9 |
+
"color_palette": [
|
| 10 |
+
"#F5F7FA",
|
| 11 |
+
"#0F172A",
|
| 12 |
+
"#2563EB",
|
| 13 |
+
"#334155",
|
| 14 |
+
"#EAF1FF",
|
| 15 |
+
"#64748B"
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"elements": {
|
| 19 |
+
"background": "A continuous flat field fills the full canvas with a flat, even finish without photographic depth. It remains visually quiet and contains no foreground subjects or text.",
|
| 20 |
+
"layout": [
|
| 21 |
+
{
|
| 22 |
+
"type": "panel",
|
| 23 |
+
"label": "<panel 1>",
|
| 24 |
+
"parent": "ROOT",
|
| 25 |
+
"bbox": [
|
| 26 |
+
130,
|
| 27 |
+
40,
|
| 28 |
+
352,
|
| 29 |
+
338
|
| 30 |
+
],
|
| 31 |
+
"desc": "A header containing one headline, one subheadline, and one section divider.",
|
| 32 |
+
"color_palette": [
|
| 33 |
+
"#0F172A",
|
| 34 |
+
"#334155",
|
| 35 |
+
"#2563EB"
|
| 36 |
+
],
|
| 37 |
+
"node_kind": "group"
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"type": "text",
|
| 41 |
+
"label": "<text 2>",
|
| 42 |
+
"parent": "<panel 1>",
|
| 43 |
+
"bbox": [
|
| 44 |
+
134,
|
| 45 |
+
40,
|
| 46 |
+
314,
|
| 47 |
+
143
|
| 48 |
+
],
|
| 49 |
+
"text": "MATERIAL\nDURABILITY",
|
| 50 |
+
"desc": "A 2-line, display-scale, extra-bold headline.",
|
| 51 |
+
"color_palette": [
|
| 52 |
+
"#0F172A"
|
| 53 |
+
],
|
| 54 |
+
"node_kind": "element",
|
| 55 |
+
"role": "heading",
|
| 56 |
+
"role_family": "context"
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"type": "text",
|
| 60 |
+
"label": "<text 3>",
|
| 61 |
+
"parent": "<panel 1>",
|
| 62 |
+
"bbox": [
|
| 63 |
+
130,
|
| 64 |
+
225,
|
| 65 |
+
351,
|
| 66 |
+
338
|
| 67 |
+
],
|
| 68 |
+
"text": "Comparing longevity of\nBronze vs. Marble from\n1800 to 2024",
|
| 69 |
+
"desc": "A 3-line, large-scale, medium subheadline.",
|
| 70 |
+
"color_palette": [
|
| 71 |
+
"#334155"
|
| 72 |
+
],
|
| 73 |
+
"node_kind": "element",
|
| 74 |
+
"role": "heading",
|
| 75 |
+
"role_family": "context"
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"type": "shape",
|
| 79 |
+
"label": "<shape 4>",
|
| 80 |
+
"parent": "<panel 1>",
|
| 81 |
+
"bbox": [
|
| 82 |
+
159,
|
| 83 |
+
189,
|
| 84 |
+
352,
|
| 85 |
+
201
|
| 86 |
+
],
|
| 87 |
+
"desc": "A thin horizontal section divider.",
|
| 88 |
+
"color_palette": [
|
| 89 |
+
"#2563EB"
|
| 90 |
+
],
|
| 91 |
+
"node_kind": "element",
|
| 92 |
+
"role": "separator",
|
| 93 |
+
"role_family": "presentation"
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"type": "chart",
|
| 97 |
+
"label": "<chart 5>",
|
| 98 |
+
"parent": "ROOT",
|
| 99 |
+
"bbox": [
|
| 100 |
+
409,
|
| 101 |
+
28,
|
| 102 |
+
903,
|
| 103 |
+
929
|
| 104 |
+
],
|
| 105 |
+
"desc": "A horizontal group bar chart containing 12 tick labels, 12 axis lines, 12 data rows, four badges, and two category labels.",
|
| 106 |
+
"color_palette": [
|
| 107 |
+
"#FFFFFF",
|
| 108 |
+
"#165C42",
|
| 109 |
+
"#111827",
|
| 110 |
+
"#6B705C",
|
| 111 |
+
"#CB997E"
|
| 112 |
+
],
|
| 113 |
+
"node_kind": "group"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"type": "text",
|
| 117 |
+
"label": "<text 6>",
|
| 118 |
+
"parent": "<chart 5>",
|
| 119 |
+
"bbox": [
|
| 120 |
+
483,
|
| 121 |
+
62,
|
| 122 |
+
545,
|
| 123 |
+
83
|
| 124 |
+
],
|
| 125 |
+
"text": "BRONZE",
|
| 126 |
+
"desc": "A medium-scale, extra-bold category label.",
|
| 127 |
+
"color_palette": [
|
| 128 |
+
"#FFFFFF"
|
| 129 |
+
],
|
| 130 |
+
"node_kind": "element",
|
| 131 |
+
"role": "entity_label",
|
| 132 |
+
"role_family": "reading_reference"
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"type": "text",
|
| 136 |
+
"label": "<text 7>",
|
| 137 |
+
"parent": "<chart 5>",
|
| 138 |
+
"bbox": [
|
| 139 |
+
579,
|
| 140 |
+
432,
|
| 141 |
+
585,
|
| 142 |
+
445
|
| 143 |
+
],
|
| 144 |
+
"text": "0",
|
| 145 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 146 |
+
"color_palette": [
|
| 147 |
+
"#165C42"
|
| 148 |
+
],
|
| 149 |
+
"node_kind": "element",
|
| 150 |
+
"role": "tick_label",
|
| 151 |
+
"role_family": "reading_reference"
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"type": "text",
|
| 155 |
+
"label": "<text 8>",
|
| 156 |
+
"parent": "<chart 5>",
|
| 157 |
+
"bbox": [
|
| 158 |
+
640,
|
| 159 |
+
432,
|
| 160 |
+
650,
|
| 161 |
+
445
|
| 162 |
+
],
|
| 163 |
+
"text": "19",
|
| 164 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 165 |
+
"color_palette": [
|
| 166 |
+
"#165C42"
|
| 167 |
+
],
|
| 168 |
+
"node_kind": "element",
|
| 169 |
+
"role": "tick_label",
|
| 170 |
+
"role_family": "reading_reference"
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"type": "text",
|
| 174 |
+
"label": "<text 9>",
|
| 175 |
+
"parent": "<chart 5>",
|
| 176 |
+
"bbox": [
|
| 177 |
+
703,
|
| 178 |
+
432,
|
| 179 |
+
713,
|
| 180 |
+
445
|
| 181 |
+
],
|
| 182 |
+
"text": "38",
|
| 183 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 184 |
+
"color_palette": [
|
| 185 |
+
"#165C42"
|
| 186 |
+
],
|
| 187 |
+
"node_kind": "element",
|
| 188 |
+
"role": "tick_label",
|
| 189 |
+
"role_family": "reading_reference"
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"type": "text",
|
| 193 |
+
"label": "<text 10>",
|
| 194 |
+
"parent": "<chart 5>",
|
| 195 |
+
"bbox": [
|
| 196 |
+
766,
|
| 197 |
+
432,
|
| 198 |
+
777,
|
| 199 |
+
445
|
| 200 |
+
],
|
| 201 |
+
"text": "57",
|
| 202 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 203 |
+
"color_palette": [
|
| 204 |
+
"#165C42"
|
| 205 |
+
],
|
| 206 |
+
"node_kind": "element",
|
| 207 |
+
"role": "tick_label",
|
| 208 |
+
"role_family": "reading_reference"
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"type": "text",
|
| 212 |
+
"label": "<text 11>",
|
| 213 |
+
"parent": "<chart 5>",
|
| 214 |
+
"bbox": [
|
| 215 |
+
829,
|
| 216 |
+
432,
|
| 217 |
+
840,
|
| 218 |
+
445
|
| 219 |
+
],
|
| 220 |
+
"text": "76",
|
| 221 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 222 |
+
"color_palette": [
|
| 223 |
+
"#165C42"
|
| 224 |
+
],
|
| 225 |
+
"node_kind": "element",
|
| 226 |
+
"role": "tick_label",
|
| 227 |
+
"role_family": "reading_reference"
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"type": "text",
|
| 231 |
+
"label": "<text 12>",
|
| 232 |
+
"parent": "<chart 5>",
|
| 233 |
+
"bbox": [
|
| 234 |
+
892,
|
| 235 |
+
432,
|
| 236 |
+
903,
|
| 237 |
+
445
|
| 238 |
+
],
|
| 239 |
+
"text": "95",
|
| 240 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 241 |
+
"color_palette": [
|
| 242 |
+
"#165C42"
|
| 243 |
+
],
|
| 244 |
+
"node_kind": "element",
|
| 245 |
+
"role": "tick_label",
|
| 246 |
+
"role_family": "reading_reference"
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"type": "text",
|
| 250 |
+
"label": "<text 13>",
|
| 251 |
+
"parent": "<chart 5>",
|
| 252 |
+
"bbox": [
|
| 253 |
+
703,
|
| 254 |
+
445,
|
| 255 |
+
776,
|
| 256 |
+
462
|
| 257 |
+
],
|
| 258 |
+
"text": "Durability Score",
|
| 259 |
+
"desc": "A medium-scale, extra-bold, centered axis title.",
|
| 260 |
+
"color_palette": [
|
| 261 |
+
"#165C42"
|
| 262 |
+
],
|
| 263 |
+
"node_kind": "element",
|
| 264 |
+
"role": "axis_title",
|
| 265 |
+
"role_family": "reading_reference"
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"type": "text",
|
| 269 |
+
"label": "<text 14>",
|
| 270 |
+
"parent": "<chart 5>",
|
| 271 |
+
"bbox": [
|
| 272 |
+
483,
|
| 273 |
+
529,
|
| 274 |
+
546,
|
| 275 |
+
550
|
| 276 |
+
],
|
| 277 |
+
"text": "MARBLE",
|
| 278 |
+
"desc": "A medium-scale, extra-bold category label.",
|
| 279 |
+
"color_palette": [
|
| 280 |
+
"#111827"
|
| 281 |
+
],
|
| 282 |
+
"node_kind": "element",
|
| 283 |
+
"role": "entity_label",
|
| 284 |
+
"role_family": "reading_reference"
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"type": "text",
|
| 288 |
+
"label": "<text 15>",
|
| 289 |
+
"parent": "<chart 5>",
|
| 290 |
+
"bbox": [
|
| 291 |
+
579,
|
| 292 |
+
899,
|
| 293 |
+
585,
|
| 294 |
+
912
|
| 295 |
+
],
|
| 296 |
+
"text": "0",
|
| 297 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 298 |
+
"color_palette": [
|
| 299 |
+
"#165C42"
|
| 300 |
+
],
|
| 301 |
+
"node_kind": "element",
|
| 302 |
+
"role": "tick_label",
|
| 303 |
+
"role_family": "reading_reference"
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"type": "text",
|
| 307 |
+
"label": "<text 16>",
|
| 308 |
+
"parent": "<chart 5>",
|
| 309 |
+
"bbox": [
|
| 310 |
+
640,
|
| 311 |
+
899,
|
| 312 |
+
650,
|
| 313 |
+
912
|
| 314 |
+
],
|
| 315 |
+
"text": "19",
|
| 316 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 317 |
+
"color_palette": [
|
| 318 |
+
"#165C42"
|
| 319 |
+
],
|
| 320 |
+
"node_kind": "element",
|
| 321 |
+
"role": "tick_label",
|
| 322 |
+
"role_family": "reading_reference"
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"type": "text",
|
| 326 |
+
"label": "<text 17>",
|
| 327 |
+
"parent": "<chart 5>",
|
| 328 |
+
"bbox": [
|
| 329 |
+
703,
|
| 330 |
+
899,
|
| 331 |
+
713,
|
| 332 |
+
912
|
| 333 |
+
],
|
| 334 |
+
"text": "38",
|
| 335 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 336 |
+
"color_palette": [
|
| 337 |
+
"#165C42"
|
| 338 |
+
],
|
| 339 |
+
"node_kind": "element",
|
| 340 |
+
"role": "tick_label",
|
| 341 |
+
"role_family": "reading_reference"
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"type": "text",
|
| 345 |
+
"label": "<text 18>",
|
| 346 |
+
"parent": "<chart 5>",
|
| 347 |
+
"bbox": [
|
| 348 |
+
766,
|
| 349 |
+
899,
|
| 350 |
+
777,
|
| 351 |
+
912
|
| 352 |
+
],
|
| 353 |
+
"text": "57",
|
| 354 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 355 |
+
"color_palette": [
|
| 356 |
+
"#165C42"
|
| 357 |
+
],
|
| 358 |
+
"node_kind": "element",
|
| 359 |
+
"role": "tick_label",
|
| 360 |
+
"role_family": "reading_reference"
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"type": "text",
|
| 364 |
+
"label": "<text 19>",
|
| 365 |
+
"parent": "<chart 5>",
|
| 366 |
+
"bbox": [
|
| 367 |
+
829,
|
| 368 |
+
899,
|
| 369 |
+
840,
|
| 370 |
+
912
|
| 371 |
+
],
|
| 372 |
+
"text": "76",
|
| 373 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 374 |
+
"color_palette": [
|
| 375 |
+
"#165C42"
|
| 376 |
+
],
|
| 377 |
+
"node_kind": "element",
|
| 378 |
+
"role": "tick_label",
|
| 379 |
+
"role_family": "reading_reference"
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"type": "text",
|
| 383 |
+
"label": "<text 20>",
|
| 384 |
+
"parent": "<chart 5>",
|
| 385 |
+
"bbox": [
|
| 386 |
+
892,
|
| 387 |
+
899,
|
| 388 |
+
903,
|
| 389 |
+
912
|
| 390 |
+
],
|
| 391 |
+
"text": "95",
|
| 392 |
+
"desc": "A small-scale, semibold, centered numeric tick label.",
|
| 393 |
+
"color_palette": [
|
| 394 |
+
"#165C42"
|
| 395 |
+
],
|
| 396 |
+
"node_kind": "element",
|
| 397 |
+
"role": "tick_label",
|
| 398 |
+
"role_family": "reading_reference"
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"type": "text",
|
| 402 |
+
"label": "<text 21>",
|
| 403 |
+
"parent": "<chart 5>",
|
| 404 |
+
"bbox": [
|
| 405 |
+
703,
|
| 406 |
+
912,
|
| 407 |
+
776,
|
| 408 |
+
929
|
| 409 |
+
],
|
| 410 |
+
"text": "Durability Score",
|
| 411 |
+
"desc": "A medium-scale, extra-bold, centered axis title.",
|
| 412 |
+
"color_palette": [
|
| 413 |
+
"#165C42"
|
| 414 |
+
],
|
| 415 |
+
"node_kind": "element",
|
| 416 |
+
"role": "axis_title",
|
| 417 |
+
"role_family": "reading_reference"
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"type": "shape",
|
| 421 |
+
"label": "<shape 22>",
|
| 422 |
+
"parent": "<chart 5>",
|
| 423 |
+
"bbox": [
|
| 424 |
+
464,
|
| 425 |
+
46,
|
| 426 |
+
642,
|
| 427 |
+
101
|
| 428 |
+
],
|
| 429 |
+
"desc": "A badge.",
|
| 430 |
+
"color_palette": [
|
| 431 |
+
"#6B705C"
|
| 432 |
+
],
|
| 433 |
+
"node_kind": "element",
|
| 434 |
+
"role": "boundary",
|
| 435 |
+
"role_family": "presentation"
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"type": "shape",
|
| 439 |
+
"label": "<shape 23>",
|
| 440 |
+
"parent": "<chart 5>",
|
| 441 |
+
"bbox": [
|
| 442 |
+
464,
|
| 443 |
+
513,
|
| 444 |
+
642,
|
| 445 |
+
568
|
| 446 |
+
],
|
| 447 |
+
"desc": "A badge.",
|
| 448 |
+
"color_palette": [
|
| 449 |
+
"#CB997E"
|
| 450 |
+
],
|
| 451 |
+
"node_kind": "element",
|
| 452 |
+
"role": "boundary",
|
| 453 |
+
"role_family": "presentation"
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"type": "image",
|
| 457 |
+
"label": "<image 24>",
|
| 458 |
+
"parent": "<chart 5>",
|
| 459 |
+
"bbox": [
|
| 460 |
+
409,
|
| 461 |
+
28,
|
| 462 |
+
460,
|
| 463 |
+
119
|
| 464 |
+
],
|
| 465 |
+
"desc": "An icon representing Bronze.",
|
| 466 |
+
"color_palette": [
|
| 467 |
+
"#483018",
|
| 468 |
+
"#301818",
|
| 469 |
+
"#303018",
|
| 470 |
+
"#604830",
|
| 471 |
+
"#786048"
|
| 472 |
+
],
|
| 473 |
+
"node_kind": "element",
|
| 474 |
+
"role": "subject_depiction",
|
| 475 |
+
"role_family": "context"
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"type": "image",
|
| 479 |
+
"label": "<image 25>",
|
| 480 |
+
"parent": "<chart 5>",
|
| 481 |
+
"bbox": [
|
| 482 |
+
409,
|
| 483 |
+
495,
|
| 484 |
+
460,
|
| 485 |
+
586
|
| 486 |
+
],
|
| 487 |
+
"desc": "An icon representing Marble.",
|
| 488 |
+
"color_palette": [
|
| 489 |
+
"#607878",
|
| 490 |
+
"#D83048",
|
| 491 |
+
"#606078",
|
| 492 |
+
"#C06060",
|
| 493 |
+
"#D86060"
|
| 494 |
+
],
|
| 495 |
+
"node_kind": "element",
|
| 496 |
+
"role": "subject_depiction",
|
| 497 |
+
"role_family": "context"
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"type": "shape",
|
| 501 |
+
"label": "<shape 26>",
|
| 502 |
+
"parent": "<chart 5>",
|
| 503 |
+
"bbox": [
|
| 504 |
+
423,
|
| 505 |
+
54,
|
| 506 |
+
445,
|
| 507 |
+
93
|
| 508 |
+
],
|
| 509 |
+
"desc": "A badge.",
|
| 510 |
+
"color_palette": [
|
| 511 |
+
"#6B705C"
|
| 512 |
+
],
|
| 513 |
+
"node_kind": "element",
|
| 514 |
+
"role": "boundary",
|
| 515 |
+
"role_family": "presentation"
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"type": "shape",
|
| 519 |
+
"label": "<shape 27>",
|
| 520 |
+
"parent": "<chart 5>",
|
| 521 |
+
"bbox": [
|
| 522 |
+
423,
|
| 523 |
+
521,
|
| 524 |
+
445,
|
| 525 |
+
560
|
| 526 |
+
],
|
| 527 |
+
"desc": "A badge.",
|
| 528 |
+
"color_palette": [
|
| 529 |
+
"#CB997E"
|
| 530 |
+
],
|
| 531 |
+
"node_kind": "element",
|
| 532 |
+
"role": "boundary",
|
| 533 |
+
"role_family": "presentation"
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"type": "shape",
|
| 537 |
+
"label": "<shape 28>",
|
| 538 |
+
"parent": "<chart 5>",
|
| 539 |
+
"bbox": [
|
| 540 |
+
581,
|
| 541 |
+
417,
|
| 542 |
+
583,
|
| 543 |
+
426
|
| 544 |
+
],
|
| 545 |
+
"desc": "The vertical axis baseline.",
|
| 546 |
+
"color_palette": [
|
| 547 |
+
"#000000",
|
| 548 |
+
"#6B705C"
|
| 549 |
+
],
|
| 550 |
+
"node_kind": "element",
|
| 551 |
+
"role": "axis_line",
|
| 552 |
+
"role_family": "reading_reference"
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"type": "shape",
|
| 556 |
+
"label": "<shape 29>",
|
| 557 |
+
"parent": "<chart 5>",
|
| 558 |
+
"bbox": [
|
| 559 |
+
644,
|
| 560 |
+
417,
|
| 561 |
+
646,
|
| 562 |
+
426
|
| 563 |
+
],
|
| 564 |
+
"desc": "The vertical axis baseline.",
|
| 565 |
+
"color_palette": [
|
| 566 |
+
"#000000",
|
| 567 |
+
"#6B705C"
|
| 568 |
+
],
|
| 569 |
+
"node_kind": "element",
|
| 570 |
+
"role": "axis_line",
|
| 571 |
+
"role_family": "reading_reference"
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"type": "shape",
|
| 575 |
+
"label": "<shape 30>",
|
| 576 |
+
"parent": "<chart 5>",
|
| 577 |
+
"bbox": [
|
| 578 |
+
834,
|
| 579 |
+
417,
|
| 580 |
+
836,
|
| 581 |
+
426
|
| 582 |
+
],
|
| 583 |
+
"desc": "The vertical axis baseline.",
|
| 584 |
+
"color_palette": [
|
| 585 |
+
"#000000",
|
| 586 |
+
"#6B705C"
|
| 587 |
+
],
|
| 588 |
+
"node_kind": "element",
|
| 589 |
+
"role": "axis_line",
|
| 590 |
+
"role_family": "reading_reference"
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"type": "shape",
|
| 594 |
+
"label": "<shape 31>",
|
| 595 |
+
"parent": "<chart 5>",
|
| 596 |
+
"bbox": [
|
| 597 |
+
897,
|
| 598 |
+
417,
|
| 599 |
+
899,
|
| 600 |
+
426
|
| 601 |
+
],
|
| 602 |
+
"desc": "The vertical axis baseline.",
|
| 603 |
+
"color_palette": [
|
| 604 |
+
"#000000",
|
| 605 |
+
"#6B705C"
|
| 606 |
+
],
|
| 607 |
+
"node_kind": "element",
|
| 608 |
+
"role": "axis_line",
|
| 609 |
+
"role_family": "reading_reference"
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"type": "shape",
|
| 613 |
+
"label": "<shape 32>",
|
| 614 |
+
"parent": "<chart 5>",
|
| 615 |
+
"bbox": [
|
| 616 |
+
581,
|
| 617 |
+
884,
|
| 618 |
+
583,
|
| 619 |
+
893
|
| 620 |
+
],
|
| 621 |
+
"desc": "The vertical axis baseline.",
|
| 622 |
+
"color_palette": [
|
| 623 |
+
"#000000",
|
| 624 |
+
"#CB997E"
|
| 625 |
+
],
|
| 626 |
+
"node_kind": "element",
|
| 627 |
+
"role": "axis_line",
|
| 628 |
+
"role_family": "reading_reference"
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"type": "shape",
|
| 632 |
+
"label": "<shape 33>",
|
| 633 |
+
"parent": "<chart 5>",
|
| 634 |
+
"bbox": [
|
| 635 |
+
644,
|
| 636 |
+
884,
|
| 637 |
+
646,
|
| 638 |
+
893
|
| 639 |
+
],
|
| 640 |
+
"desc": "The vertical axis baseline.",
|
| 641 |
+
"color_palette": [
|
| 642 |
+
"#000000",
|
| 643 |
+
"#CB997E"
|
| 644 |
+
],
|
| 645 |
+
"node_kind": "element",
|
| 646 |
+
"role": "axis_line",
|
| 647 |
+
"role_family": "reading_reference"
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"type": "shape",
|
| 651 |
+
"label": "<shape 34>",
|
| 652 |
+
"parent": "<chart 5>",
|
| 653 |
+
"bbox": [
|
| 654 |
+
834,
|
| 655 |
+
884,
|
| 656 |
+
836,
|
| 657 |
+
893
|
| 658 |
+
],
|
| 659 |
+
"desc": "The vertical axis baseline.",
|
| 660 |
+
"color_palette": [
|
| 661 |
+
"#000000",
|
| 662 |
+
"#CB997E"
|
| 663 |
+
],
|
| 664 |
+
"node_kind": "element",
|
| 665 |
+
"role": "axis_line",
|
| 666 |
+
"role_family": "reading_reference"
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"type": "shape",
|
| 670 |
+
"label": "<shape 35>",
|
| 671 |
+
"parent": "<chart 5>",
|
| 672 |
+
"bbox": [
|
| 673 |
+
897,
|
| 674 |
+
884,
|
| 675 |
+
899,
|
| 676 |
+
893
|
| 677 |
+
],
|
| 678 |
+
"desc": "The vertical axis baseline.",
|
| 679 |
+
"color_palette": [
|
| 680 |
+
"#000000",
|
| 681 |
+
"#CB997E"
|
| 682 |
+
],
|
| 683 |
+
"node_kind": "element",
|
| 684 |
+
"role": "axis_line",
|
| 685 |
+
"role_family": "reading_reference"
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"type": "shape",
|
| 689 |
+
"label": "<shape 36>",
|
| 690 |
+
"parent": "<chart 5>",
|
| 691 |
+
"bbox": [
|
| 692 |
+
708,
|
| 693 |
+
417,
|
| 694 |
+
709,
|
| 695 |
+
426
|
| 696 |
+
],
|
| 697 |
+
"desc": "The vertical axis baseline.",
|
| 698 |
+
"color_palette": [
|
| 699 |
+
"#000000",
|
| 700 |
+
"#6B705C"
|
| 701 |
+
],
|
| 702 |
+
"node_kind": "element",
|
| 703 |
+
"role": "axis_line",
|
| 704 |
+
"role_family": "reading_reference"
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"type": "shape",
|
| 708 |
+
"label": "<shape 37>",
|
| 709 |
+
"parent": "<chart 5>",
|
| 710 |
+
"bbox": [
|
| 711 |
+
771,
|
| 712 |
+
417,
|
| 713 |
+
772,
|
| 714 |
+
426
|
| 715 |
+
],
|
| 716 |
+
"desc": "The vertical axis baseline.",
|
| 717 |
+
"color_palette": [
|
| 718 |
+
"#000000",
|
| 719 |
+
"#6B705C"
|
| 720 |
+
],
|
| 721 |
+
"node_kind": "element",
|
| 722 |
+
"role": "axis_line",
|
| 723 |
+
"role_family": "reading_reference"
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"type": "shape",
|
| 727 |
+
"label": "<shape 38>",
|
| 728 |
+
"parent": "<chart 5>",
|
| 729 |
+
"bbox": [
|
| 730 |
+
708,
|
| 731 |
+
884,
|
| 732 |
+
709,
|
| 733 |
+
893
|
| 734 |
+
],
|
| 735 |
+
"desc": "The vertical axis baseline.",
|
| 736 |
+
"color_palette": [
|
| 737 |
+
"#000000",
|
| 738 |
+
"#CB997E"
|
| 739 |
+
],
|
| 740 |
+
"node_kind": "element",
|
| 741 |
+
"role": "axis_line",
|
| 742 |
+
"role_family": "reading_reference"
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"type": "shape",
|
| 746 |
+
"label": "<shape 39>",
|
| 747 |
+
"parent": "<chart 5>",
|
| 748 |
+
"bbox": [
|
| 749 |
+
771,
|
| 750 |
+
884,
|
| 751 |
+
772,
|
| 752 |
+
893
|
| 753 |
+
],
|
| 754 |
+
"desc": "The vertical axis baseline.",
|
| 755 |
+
"color_palette": [
|
| 756 |
+
"#000000",
|
| 757 |
+
"#CB997E"
|
| 758 |
+
],
|
| 759 |
+
"node_kind": "element",
|
| 760 |
+
"role": "axis_line",
|
| 761 |
+
"role_family": "reading_reference"
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"type": "data_item",
|
| 765 |
+
"label": "<data_item 40>",
|
| 766 |
+
"parent": "<chart 5>",
|
| 767 |
+
"bbox": [
|
| 768 |
+
424,
|
| 769 |
+
140,
|
| 770 |
+
898,
|
| 771 |
+
175
|
| 772 |
+
],
|
| 773 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 774 |
+
"color_palette": [
|
| 775 |
+
"#F0F0F0",
|
| 776 |
+
"#3060A8",
|
| 777 |
+
"#4878A8",
|
| 778 |
+
"#D8D8F0",
|
| 779 |
+
"#C0D8D8"
|
| 780 |
+
],
|
| 781 |
+
"node_kind": "group"
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"type": "image",
|
| 785 |
+
"label": "<image 41>",
|
| 786 |
+
"parent": "<data_item 40>",
|
| 787 |
+
"bbox": [
|
| 788 |
+
424,
|
| 789 |
+
140,
|
| 790 |
+
444,
|
| 791 |
+
175
|
| 792 |
+
],
|
| 793 |
+
"desc": "An icon representing 1800.",
|
| 794 |
+
"color_palette": [
|
| 795 |
+
"#F0F0F0",
|
| 796 |
+
"#3060A8",
|
| 797 |
+
"#4878A8",
|
| 798 |
+
"#D8D8F0",
|
| 799 |
+
"#C0D8D8"
|
| 800 |
+
],
|
| 801 |
+
"node_kind": "element",
|
| 802 |
+
"role": "subject_depiction",
|
| 803 |
+
"role_family": "context"
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"type": "shape",
|
| 807 |
+
"label": "<shape 42>",
|
| 808 |
+
"parent": "<data_item 40>",
|
| 809 |
+
"bbox": [
|
| 810 |
+
429,
|
| 811 |
+
150,
|
| 812 |
+
438,
|
| 813 |
+
165
|
| 814 |
+
],
|
| 815 |
+
"desc": "A series point marking one observation.",
|
| 816 |
+
"color_palette": [
|
| 817 |
+
"#FFFFFF"
|
| 818 |
+
],
|
| 819 |
+
"node_kind": "element",
|
| 820 |
+
"role": "data_mark",
|
| 821 |
+
"role_family": "data_expression"
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"type": "text",
|
| 825 |
+
"label": "<text 43>",
|
| 826 |
+
"parent": "<data_item 40>",
|
| 827 |
+
"bbox": [
|
| 828 |
+
456,
|
| 829 |
+
149,
|
| 830 |
+
481,
|
| 831 |
+
166
|
| 832 |
+
],
|
| 833 |
+
"text": "1800",
|
| 834 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 835 |
+
"color_palette": [
|
| 836 |
+
"#102822"
|
| 837 |
+
],
|
| 838 |
+
"node_kind": "element",
|
| 839 |
+
"role": "entity_label",
|
| 840 |
+
"role_family": "reading_reference"
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"type": "data_item",
|
| 844 |
+
"label": "<data_item 44>",
|
| 845 |
+
"parent": "<data_item 40>",
|
| 846 |
+
"bbox": [
|
| 847 |
+
582,
|
| 848 |
+
145,
|
| 849 |
+
898,
|
| 850 |
+
170
|
| 851 |
+
],
|
| 852 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 853 |
+
"color_palette": [
|
| 854 |
+
"#FFFFFF",
|
| 855 |
+
"#000000"
|
| 856 |
+
],
|
| 857 |
+
"node_kind": "group"
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"type": "shape",
|
| 861 |
+
"label": "<shape 45>",
|
| 862 |
+
"parent": "<data_item 44>",
|
| 863 |
+
"bbox": [
|
| 864 |
+
582,
|
| 865 |
+
145,
|
| 866 |
+
898,
|
| 867 |
+
170
|
| 868 |
+
],
|
| 869 |
+
"desc": "A horizontal bar for 1800 / Bronze, encoding 95.",
|
| 870 |
+
"color_palette": [
|
| 871 |
+
"#000000"
|
| 872 |
+
],
|
| 873 |
+
"node_kind": "element",
|
| 874 |
+
"role": "data_mark",
|
| 875 |
+
"role_family": "data_expression"
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"type": "text",
|
| 879 |
+
"label": "<text 46>",
|
| 880 |
+
"parent": "<data_item 44>",
|
| 881 |
+
"bbox": [
|
| 882 |
+
880,
|
| 883 |
+
149,
|
| 884 |
+
894,
|
| 885 |
+
166
|
| 886 |
+
],
|
| 887 |
+
"text": "95",
|
| 888 |
+
"desc": "A medium-scale, extra-bold, right-aligned value label.",
|
| 889 |
+
"color_palette": [
|
| 890 |
+
"#FFFFFF",
|
| 891 |
+
"#000000"
|
| 892 |
+
],
|
| 893 |
+
"node_kind": "element",
|
| 894 |
+
"role": "value_label",
|
| 895 |
+
"role_family": "data_expression"
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"type": "data_item",
|
| 899 |
+
"label": "<data_item 47>",
|
| 900 |
+
"parent": "<chart 5>",
|
| 901 |
+
"bbox": [
|
| 902 |
+
424,
|
| 903 |
+
183,
|
| 904 |
+
892,
|
| 905 |
+
217
|
| 906 |
+
],
|
| 907 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 908 |
+
"color_palette": [
|
| 909 |
+
"#F0F0F0",
|
| 910 |
+
"#3060A8",
|
| 911 |
+
"#4878A8",
|
| 912 |
+
"#D8D8F0",
|
| 913 |
+
"#C0D8D8"
|
| 914 |
+
],
|
| 915 |
+
"node_kind": "group"
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"type": "image",
|
| 919 |
+
"label": "<image 48>",
|
| 920 |
+
"parent": "<data_item 47>",
|
| 921 |
+
"bbox": [
|
| 922 |
+
424,
|
| 923 |
+
183,
|
| 924 |
+
444,
|
| 925 |
+
217
|
| 926 |
+
],
|
| 927 |
+
"desc": "An icon representing 1850.",
|
| 928 |
+
"color_palette": [
|
| 929 |
+
"#F0F0F0",
|
| 930 |
+
"#3060A8",
|
| 931 |
+
"#4878A8",
|
| 932 |
+
"#D8D8F0",
|
| 933 |
+
"#C0D8D8"
|
| 934 |
+
],
|
| 935 |
+
"node_kind": "element",
|
| 936 |
+
"role": "subject_depiction",
|
| 937 |
+
"role_family": "context"
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"type": "shape",
|
| 941 |
+
"label": "<shape 49>",
|
| 942 |
+
"parent": "<data_item 47>",
|
| 943 |
+
"bbox": [
|
| 944 |
+
429,
|
| 945 |
+
192,
|
| 946 |
+
438,
|
| 947 |
+
208
|
| 948 |
+
],
|
| 949 |
+
"desc": "A series point marking one observation.",
|
| 950 |
+
"color_palette": [
|
| 951 |
+
"#FFFFFF"
|
| 952 |
+
],
|
| 953 |
+
"node_kind": "element",
|
| 954 |
+
"role": "data_mark",
|
| 955 |
+
"role_family": "data_expression"
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"type": "text",
|
| 959 |
+
"label": "<text 50>",
|
| 960 |
+
"parent": "<data_item 47>",
|
| 961 |
+
"bbox": [
|
| 962 |
+
456,
|
| 963 |
+
191,
|
| 964 |
+
481,
|
| 965 |
+
208
|
| 966 |
+
],
|
| 967 |
+
"text": "1850",
|
| 968 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 969 |
+
"color_palette": [
|
| 970 |
+
"#102822"
|
| 971 |
+
],
|
| 972 |
+
"node_kind": "element",
|
| 973 |
+
"role": "entity_label",
|
| 974 |
+
"role_family": "reading_reference"
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"type": "data_item",
|
| 978 |
+
"label": "<data_item 51>",
|
| 979 |
+
"parent": "<data_item 47>",
|
| 980 |
+
"bbox": [
|
| 981 |
+
582,
|
| 982 |
+
187,
|
| 983 |
+
892,
|
| 984 |
+
213
|
| 985 |
+
],
|
| 986 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 987 |
+
"color_palette": [
|
| 988 |
+
"#FFFFFF",
|
| 989 |
+
"#000000"
|
| 990 |
+
],
|
| 991 |
+
"node_kind": "group"
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"type": "shape",
|
| 995 |
+
"label": "<shape 52>",
|
| 996 |
+
"parent": "<data_item 51>",
|
| 997 |
+
"bbox": [
|
| 998 |
+
582,
|
| 999 |
+
187,
|
| 1000 |
+
892,
|
| 1001 |
+
213
|
| 1002 |
+
],
|
| 1003 |
+
"desc": "A horizontal bar for 1850 / Bronze, encoding 93.",
|
| 1004 |
+
"color_palette": [
|
| 1005 |
+
"#000000"
|
| 1006 |
+
],
|
| 1007 |
+
"node_kind": "element",
|
| 1008 |
+
"role": "data_mark",
|
| 1009 |
+
"role_family": "data_expression"
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"type": "text",
|
| 1013 |
+
"label": "<text 53>",
|
| 1014 |
+
"parent": "<data_item 51>",
|
| 1015 |
+
"bbox": [
|
| 1016 |
+
873,
|
| 1017 |
+
191,
|
| 1018 |
+
888,
|
| 1019 |
+
209
|
| 1020 |
+
],
|
| 1021 |
+
"text": "93",
|
| 1022 |
+
"desc": "A medium-scale, extra-bold, right-aligned value label.",
|
| 1023 |
+
"color_palette": [
|
| 1024 |
+
"#FFFFFF",
|
| 1025 |
+
"#000000"
|
| 1026 |
+
],
|
| 1027 |
+
"node_kind": "element",
|
| 1028 |
+
"role": "value_label",
|
| 1029 |
+
"role_family": "data_expression"
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"type": "data_item",
|
| 1033 |
+
"label": "<data_item 54>",
|
| 1034 |
+
"parent": "<chart 5>",
|
| 1035 |
+
"bbox": [
|
| 1036 |
+
424,
|
| 1037 |
+
225,
|
| 1038 |
+
900,
|
| 1039 |
+
260
|
| 1040 |
+
],
|
| 1041 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1042 |
+
"color_palette": [
|
| 1043 |
+
"#607878",
|
| 1044 |
+
"#D83048",
|
| 1045 |
+
"#606078",
|
| 1046 |
+
"#C06060",
|
| 1047 |
+
"#D86060"
|
| 1048 |
+
],
|
| 1049 |
+
"node_kind": "group"
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"type": "image",
|
| 1053 |
+
"label": "<image 55>",
|
| 1054 |
+
"parent": "<data_item 54>",
|
| 1055 |
+
"bbox": [
|
| 1056 |
+
424,
|
| 1057 |
+
225,
|
| 1058 |
+
444,
|
| 1059 |
+
260
|
| 1060 |
+
],
|
| 1061 |
+
"desc": "An icon representing 1900.",
|
| 1062 |
+
"color_palette": [
|
| 1063 |
+
"#607878",
|
| 1064 |
+
"#D83048",
|
| 1065 |
+
"#606078",
|
| 1066 |
+
"#C06060",
|
| 1067 |
+
"#D86060"
|
| 1068 |
+
],
|
| 1069 |
+
"node_kind": "element",
|
| 1070 |
+
"role": "subject_depiction",
|
| 1071 |
+
"role_family": "context"
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"type": "shape",
|
| 1075 |
+
"label": "<shape 56>",
|
| 1076 |
+
"parent": "<data_item 54>",
|
| 1077 |
+
"bbox": [
|
| 1078 |
+
429,
|
| 1079 |
+
234,
|
| 1080 |
+
438,
|
| 1081 |
+
250
|
| 1082 |
+
],
|
| 1083 |
+
"desc": "A series point marking one observation.",
|
| 1084 |
+
"color_palette": [
|
| 1085 |
+
"#FFFFFF"
|
| 1086 |
+
],
|
| 1087 |
+
"node_kind": "element",
|
| 1088 |
+
"role": "data_mark",
|
| 1089 |
+
"role_family": "data_expression"
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"type": "text",
|
| 1093 |
+
"label": "<text 57>",
|
| 1094 |
+
"parent": "<data_item 54>",
|
| 1095 |
+
"bbox": [
|
| 1096 |
+
456,
|
| 1097 |
+
233,
|
| 1098 |
+
481,
|
| 1099 |
+
250
|
| 1100 |
+
],
|
| 1101 |
+
"text": "1900",
|
| 1102 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1103 |
+
"color_palette": [
|
| 1104 |
+
"#102822"
|
| 1105 |
+
],
|
| 1106 |
+
"node_kind": "element",
|
| 1107 |
+
"role": "entity_label",
|
| 1108 |
+
"role_family": "reading_reference"
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"type": "data_item",
|
| 1112 |
+
"label": "<data_item 58>",
|
| 1113 |
+
"parent": "<data_item 54>",
|
| 1114 |
+
"bbox": [
|
| 1115 |
+
582,
|
| 1116 |
+
229,
|
| 1117 |
+
900,
|
| 1118 |
+
255
|
| 1119 |
+
],
|
| 1120 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1121 |
+
"color_palette": [
|
| 1122 |
+
"#666A57"
|
| 1123 |
+
],
|
| 1124 |
+
"node_kind": "group"
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"type": "shape",
|
| 1128 |
+
"label": "<shape 59>",
|
| 1129 |
+
"parent": "<data_item 58>",
|
| 1130 |
+
"bbox": [
|
| 1131 |
+
582,
|
| 1132 |
+
229,
|
| 1133 |
+
882,
|
| 1134 |
+
255
|
| 1135 |
+
],
|
| 1136 |
+
"desc": "A horizontal bar for 1900 / Bronze, encoding 90.",
|
| 1137 |
+
"color_palette": [
|
| 1138 |
+
"#000000"
|
| 1139 |
+
],
|
| 1140 |
+
"node_kind": "element",
|
| 1141 |
+
"role": "data_mark",
|
| 1142 |
+
"role_family": "data_expression"
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"type": "text",
|
| 1146 |
+
"label": "<text 60>",
|
| 1147 |
+
"parent": "<data_item 58>",
|
| 1148 |
+
"bbox": [
|
| 1149 |
+
886,
|
| 1150 |
+
234,
|
| 1151 |
+
900,
|
| 1152 |
+
250
|
| 1153 |
+
],
|
| 1154 |
+
"text": "90",
|
| 1155 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1156 |
+
"color_palette": [
|
| 1157 |
+
"#666A57"
|
| 1158 |
+
],
|
| 1159 |
+
"node_kind": "element",
|
| 1160 |
+
"role": "value_label",
|
| 1161 |
+
"role_family": "data_expression"
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"type": "data_item",
|
| 1165 |
+
"label": "<data_item 61>",
|
| 1166 |
+
"parent": "<chart 5>",
|
| 1167 |
+
"bbox": [
|
| 1168 |
+
424,
|
| 1169 |
+
267,
|
| 1170 |
+
893,
|
| 1171 |
+
302
|
| 1172 |
+
],
|
| 1173 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1174 |
+
"color_palette": [
|
| 1175 |
+
"#607878",
|
| 1176 |
+
"#D83048",
|
| 1177 |
+
"#606078",
|
| 1178 |
+
"#C06060",
|
| 1179 |
+
"#D86060"
|
| 1180 |
+
],
|
| 1181 |
+
"node_kind": "group"
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"type": "image",
|
| 1185 |
+
"label": "<image 62>",
|
| 1186 |
+
"parent": "<data_item 61>",
|
| 1187 |
+
"bbox": [
|
| 1188 |
+
424,
|
| 1189 |
+
267,
|
| 1190 |
+
444,
|
| 1191 |
+
302
|
| 1192 |
+
],
|
| 1193 |
+
"desc": "An icon representing 1950.",
|
| 1194 |
+
"color_palette": [
|
| 1195 |
+
"#607878",
|
| 1196 |
+
"#D83048",
|
| 1197 |
+
"#606078",
|
| 1198 |
+
"#C06060",
|
| 1199 |
+
"#D86060"
|
| 1200 |
+
],
|
| 1201 |
+
"node_kind": "element",
|
| 1202 |
+
"role": "subject_depiction",
|
| 1203 |
+
"role_family": "context"
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"type": "shape",
|
| 1207 |
+
"label": "<shape 63>",
|
| 1208 |
+
"parent": "<data_item 61>",
|
| 1209 |
+
"bbox": [
|
| 1210 |
+
429,
|
| 1211 |
+
277,
|
| 1212 |
+
438,
|
| 1213 |
+
292
|
| 1214 |
+
],
|
| 1215 |
+
"desc": "A series point marking one observation.",
|
| 1216 |
+
"color_palette": [
|
| 1217 |
+
"#FFFFFF"
|
| 1218 |
+
],
|
| 1219 |
+
"node_kind": "element",
|
| 1220 |
+
"role": "data_mark",
|
| 1221 |
+
"role_family": "data_expression"
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"type": "text",
|
| 1225 |
+
"label": "<text 64>",
|
| 1226 |
+
"parent": "<data_item 61>",
|
| 1227 |
+
"bbox": [
|
| 1228 |
+
456,
|
| 1229 |
+
275,
|
| 1230 |
+
481,
|
| 1231 |
+
292
|
| 1232 |
+
],
|
| 1233 |
+
"text": "1950",
|
| 1234 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1235 |
+
"color_palette": [
|
| 1236 |
+
"#102822"
|
| 1237 |
+
],
|
| 1238 |
+
"node_kind": "element",
|
| 1239 |
+
"role": "entity_label",
|
| 1240 |
+
"role_family": "reading_reference"
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"type": "data_item",
|
| 1244 |
+
"label": "<data_item 65>",
|
| 1245 |
+
"parent": "<data_item 61>",
|
| 1246 |
+
"bbox": [
|
| 1247 |
+
582,
|
| 1248 |
+
272,
|
| 1249 |
+
893,
|
| 1250 |
+
297
|
| 1251 |
+
],
|
| 1252 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1253 |
+
"color_palette": [
|
| 1254 |
+
"#666A57"
|
| 1255 |
+
],
|
| 1256 |
+
"node_kind": "group"
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"type": "shape",
|
| 1260 |
+
"label": "<shape 66>",
|
| 1261 |
+
"parent": "<data_item 65>",
|
| 1262 |
+
"bbox": [
|
| 1263 |
+
582,
|
| 1264 |
+
272,
|
| 1265 |
+
875,
|
| 1266 |
+
297
|
| 1267 |
+
],
|
| 1268 |
+
"desc": "A horizontal bar for 1950 / Bronze, encoding 88.",
|
| 1269 |
+
"color_palette": [
|
| 1270 |
+
"#000000"
|
| 1271 |
+
],
|
| 1272 |
+
"node_kind": "element",
|
| 1273 |
+
"role": "data_mark",
|
| 1274 |
+
"role_family": "data_expression"
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"type": "text",
|
| 1278 |
+
"label": "<text 67>",
|
| 1279 |
+
"parent": "<data_item 65>",
|
| 1280 |
+
"bbox": [
|
| 1281 |
+
880,
|
| 1282 |
+
276,
|
| 1283 |
+
893,
|
| 1284 |
+
292
|
| 1285 |
+
],
|
| 1286 |
+
"text": "88",
|
| 1287 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1288 |
+
"color_palette": [
|
| 1289 |
+
"#666A57"
|
| 1290 |
+
],
|
| 1291 |
+
"node_kind": "element",
|
| 1292 |
+
"role": "value_label",
|
| 1293 |
+
"role_family": "data_expression"
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"type": "data_item",
|
| 1297 |
+
"label": "<data_item 68>",
|
| 1298 |
+
"parent": "<chart 5>",
|
| 1299 |
+
"bbox": [
|
| 1300 |
+
424,
|
| 1301 |
+
309,
|
| 1302 |
+
883,
|
| 1303 |
+
344
|
| 1304 |
+
],
|
| 1305 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1306 |
+
"color_palette": [
|
| 1307 |
+
"#607878",
|
| 1308 |
+
"#D83048",
|
| 1309 |
+
"#606078",
|
| 1310 |
+
"#C06060",
|
| 1311 |
+
"#D86060"
|
| 1312 |
+
],
|
| 1313 |
+
"node_kind": "group"
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"type": "image",
|
| 1317 |
+
"label": "<image 69>",
|
| 1318 |
+
"parent": "<data_item 68>",
|
| 1319 |
+
"bbox": [
|
| 1320 |
+
424,
|
| 1321 |
+
309,
|
| 1322 |
+
444,
|
| 1323 |
+
344
|
| 1324 |
+
],
|
| 1325 |
+
"desc": "An icon representing 2000.",
|
| 1326 |
+
"color_palette": [
|
| 1327 |
+
"#607878",
|
| 1328 |
+
"#D83048",
|
| 1329 |
+
"#606078",
|
| 1330 |
+
"#C06060",
|
| 1331 |
+
"#D86060"
|
| 1332 |
+
],
|
| 1333 |
+
"node_kind": "element",
|
| 1334 |
+
"role": "subject_depiction",
|
| 1335 |
+
"role_family": "context"
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"type": "shape",
|
| 1339 |
+
"label": "<shape 70>",
|
| 1340 |
+
"parent": "<data_item 68>",
|
| 1341 |
+
"bbox": [
|
| 1342 |
+
429,
|
| 1343 |
+
319,
|
| 1344 |
+
438,
|
| 1345 |
+
334
|
| 1346 |
+
],
|
| 1347 |
+
"desc": "A series point marking one observation.",
|
| 1348 |
+
"color_palette": [
|
| 1349 |
+
"#FFFFFF"
|
| 1350 |
+
],
|
| 1351 |
+
"node_kind": "element",
|
| 1352 |
+
"role": "data_mark",
|
| 1353 |
+
"role_family": "data_expression"
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"type": "text",
|
| 1357 |
+
"label": "<text 71>",
|
| 1358 |
+
"parent": "<data_item 68>",
|
| 1359 |
+
"bbox": [
|
| 1360 |
+
455,
|
| 1361 |
+
317,
|
| 1362 |
+
481,
|
| 1363 |
+
335
|
| 1364 |
+
],
|
| 1365 |
+
"text": "2000",
|
| 1366 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1367 |
+
"color_palette": [
|
| 1368 |
+
"#102822"
|
| 1369 |
+
],
|
| 1370 |
+
"node_kind": "element",
|
| 1371 |
+
"role": "entity_label",
|
| 1372 |
+
"role_family": "reading_reference"
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"type": "data_item",
|
| 1376 |
+
"label": "<data_item 72>",
|
| 1377 |
+
"parent": "<data_item 68>",
|
| 1378 |
+
"bbox": [
|
| 1379 |
+
582,
|
| 1380 |
+
314,
|
| 1381 |
+
883,
|
| 1382 |
+
339
|
| 1383 |
+
],
|
| 1384 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1385 |
+
"color_palette": [
|
| 1386 |
+
"#666A57"
|
| 1387 |
+
],
|
| 1388 |
+
"node_kind": "group"
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"type": "shape",
|
| 1392 |
+
"label": "<shape 73>",
|
| 1393 |
+
"parent": "<data_item 72>",
|
| 1394 |
+
"bbox": [
|
| 1395 |
+
582,
|
| 1396 |
+
314,
|
| 1397 |
+
865,
|
| 1398 |
+
339
|
| 1399 |
+
],
|
| 1400 |
+
"desc": "A horizontal bar for 2000 / Bronze, encoding 85.",
|
| 1401 |
+
"color_palette": [
|
| 1402 |
+
"#000000"
|
| 1403 |
+
],
|
| 1404 |
+
"node_kind": "element",
|
| 1405 |
+
"role": "data_mark",
|
| 1406 |
+
"role_family": "data_expression"
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"type": "text",
|
| 1410 |
+
"label": "<text 74>",
|
| 1411 |
+
"parent": "<data_item 72>",
|
| 1412 |
+
"bbox": [
|
| 1413 |
+
870,
|
| 1414 |
+
318,
|
| 1415 |
+
883,
|
| 1416 |
+
334
|
| 1417 |
+
],
|
| 1418 |
+
"text": "85",
|
| 1419 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1420 |
+
"color_palette": [
|
| 1421 |
+
"#666A57"
|
| 1422 |
+
],
|
| 1423 |
+
"node_kind": "element",
|
| 1424 |
+
"role": "value_label",
|
| 1425 |
+
"role_family": "data_expression"
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"type": "data_item",
|
| 1429 |
+
"label": "<data_item 75>",
|
| 1430 |
+
"parent": "<chart 5>",
|
| 1431 |
+
"bbox": [
|
| 1432 |
+
424,
|
| 1433 |
+
351,
|
| 1434 |
+
873,
|
| 1435 |
+
386
|
| 1436 |
+
],
|
| 1437 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1438 |
+
"color_palette": [
|
| 1439 |
+
"#607878",
|
| 1440 |
+
"#D83048",
|
| 1441 |
+
"#606078",
|
| 1442 |
+
"#C06060",
|
| 1443 |
+
"#D86060"
|
| 1444 |
+
],
|
| 1445 |
+
"node_kind": "group"
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"type": "image",
|
| 1449 |
+
"label": "<image 76>",
|
| 1450 |
+
"parent": "<data_item 75>",
|
| 1451 |
+
"bbox": [
|
| 1452 |
+
424,
|
| 1453 |
+
351,
|
| 1454 |
+
444,
|
| 1455 |
+
386
|
| 1456 |
+
],
|
| 1457 |
+
"desc": "An icon representing 2024.",
|
| 1458 |
+
"color_palette": [
|
| 1459 |
+
"#607878",
|
| 1460 |
+
"#D83048",
|
| 1461 |
+
"#606078",
|
| 1462 |
+
"#C06060",
|
| 1463 |
+
"#D86060"
|
| 1464 |
+
],
|
| 1465 |
+
"node_kind": "element",
|
| 1466 |
+
"role": "subject_depiction",
|
| 1467 |
+
"role_family": "context"
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"type": "shape",
|
| 1471 |
+
"label": "<shape 77>",
|
| 1472 |
+
"parent": "<data_item 75>",
|
| 1473 |
+
"bbox": [
|
| 1474 |
+
429,
|
| 1475 |
+
361,
|
| 1476 |
+
438,
|
| 1477 |
+
376
|
| 1478 |
+
],
|
| 1479 |
+
"desc": "A series point marking one observation.",
|
| 1480 |
+
"color_palette": [
|
| 1481 |
+
"#FFFFFF"
|
| 1482 |
+
],
|
| 1483 |
+
"node_kind": "element",
|
| 1484 |
+
"role": "data_mark",
|
| 1485 |
+
"role_family": "data_expression"
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"type": "text",
|
| 1489 |
+
"label": "<text 78>",
|
| 1490 |
+
"parent": "<data_item 75>",
|
| 1491 |
+
"bbox": [
|
| 1492 |
+
455,
|
| 1493 |
+
360,
|
| 1494 |
+
481,
|
| 1495 |
+
377
|
| 1496 |
+
],
|
| 1497 |
+
"text": "2024",
|
| 1498 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1499 |
+
"color_palette": [
|
| 1500 |
+
"#102822"
|
| 1501 |
+
],
|
| 1502 |
+
"node_kind": "element",
|
| 1503 |
+
"role": "entity_label",
|
| 1504 |
+
"role_family": "reading_reference"
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"type": "data_item",
|
| 1508 |
+
"label": "<data_item 79>",
|
| 1509 |
+
"parent": "<data_item 75>",
|
| 1510 |
+
"bbox": [
|
| 1511 |
+
582,
|
| 1512 |
+
356,
|
| 1513 |
+
873,
|
| 1514 |
+
382
|
| 1515 |
+
],
|
| 1516 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1517 |
+
"color_palette": [
|
| 1518 |
+
"#666A57"
|
| 1519 |
+
],
|
| 1520 |
+
"node_kind": "group"
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"type": "shape",
|
| 1524 |
+
"label": "<shape 80>",
|
| 1525 |
+
"parent": "<data_item 79>",
|
| 1526 |
+
"bbox": [
|
| 1527 |
+
582,
|
| 1528 |
+
356,
|
| 1529 |
+
855,
|
| 1530 |
+
382
|
| 1531 |
+
],
|
| 1532 |
+
"desc": "A horizontal bar for 2024 / Bronze, encoding 82.",
|
| 1533 |
+
"color_palette": [
|
| 1534 |
+
"#000000"
|
| 1535 |
+
],
|
| 1536 |
+
"node_kind": "element",
|
| 1537 |
+
"role": "data_mark",
|
| 1538 |
+
"role_family": "data_expression"
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"type": "text",
|
| 1542 |
+
"label": "<text 81>",
|
| 1543 |
+
"parent": "<data_item 79>",
|
| 1544 |
+
"bbox": [
|
| 1545 |
+
860,
|
| 1546 |
+
360,
|
| 1547 |
+
873,
|
| 1548 |
+
377
|
| 1549 |
+
],
|
| 1550 |
+
"text": "82",
|
| 1551 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1552 |
+
"color_palette": [
|
| 1553 |
+
"#666A57"
|
| 1554 |
+
],
|
| 1555 |
+
"node_kind": "element",
|
| 1556 |
+
"role": "value_label",
|
| 1557 |
+
"role_family": "data_expression"
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"type": "data_item",
|
| 1561 |
+
"label": "<data_item 82>",
|
| 1562 |
+
"parent": "<chart 5>",
|
| 1563 |
+
"bbox": [
|
| 1564 |
+
424,
|
| 1565 |
+
607,
|
| 1566 |
+
888,
|
| 1567 |
+
642
|
| 1568 |
+
],
|
| 1569 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1570 |
+
"color_palette": [
|
| 1571 |
+
"#F0F0F0",
|
| 1572 |
+
"#3060A8",
|
| 1573 |
+
"#4878A8",
|
| 1574 |
+
"#D8D8F0",
|
| 1575 |
+
"#C0D8D8"
|
| 1576 |
+
],
|
| 1577 |
+
"node_kind": "group"
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"type": "image",
|
| 1581 |
+
"label": "<image 83>",
|
| 1582 |
+
"parent": "<data_item 82>",
|
| 1583 |
+
"bbox": [
|
| 1584 |
+
424,
|
| 1585 |
+
607,
|
| 1586 |
+
444,
|
| 1587 |
+
642
|
| 1588 |
+
],
|
| 1589 |
+
"desc": "An icon representing 1800.",
|
| 1590 |
+
"color_palette": [
|
| 1591 |
+
"#F0F0F0",
|
| 1592 |
+
"#3060A8",
|
| 1593 |
+
"#4878A8",
|
| 1594 |
+
"#D8D8F0",
|
| 1595 |
+
"#C0D8D8"
|
| 1596 |
+
],
|
| 1597 |
+
"node_kind": "element",
|
| 1598 |
+
"role": "subject_depiction",
|
| 1599 |
+
"role_family": "context"
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"type": "shape",
|
| 1603 |
+
"label": "<shape 84>",
|
| 1604 |
+
"parent": "<data_item 82>",
|
| 1605 |
+
"bbox": [
|
| 1606 |
+
429,
|
| 1607 |
+
617,
|
| 1608 |
+
438,
|
| 1609 |
+
632
|
| 1610 |
+
],
|
| 1611 |
+
"desc": "A series point marking one observation.",
|
| 1612 |
+
"color_palette": [
|
| 1613 |
+
"#FFFFFF"
|
| 1614 |
+
],
|
| 1615 |
+
"node_kind": "element",
|
| 1616 |
+
"role": "data_mark",
|
| 1617 |
+
"role_family": "data_expression"
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"type": "text",
|
| 1621 |
+
"label": "<text 85>",
|
| 1622 |
+
"parent": "<data_item 82>",
|
| 1623 |
+
"bbox": [
|
| 1624 |
+
456,
|
| 1625 |
+
615,
|
| 1626 |
+
481,
|
| 1627 |
+
633
|
| 1628 |
+
],
|
| 1629 |
+
"text": "1800",
|
| 1630 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1631 |
+
"color_palette": [
|
| 1632 |
+
"#102822"
|
| 1633 |
+
],
|
| 1634 |
+
"node_kind": "element",
|
| 1635 |
+
"role": "entity_label",
|
| 1636 |
+
"role_family": "reading_reference"
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"type": "data_item",
|
| 1640 |
+
"label": "<data_item 86>",
|
| 1641 |
+
"parent": "<data_item 82>",
|
| 1642 |
+
"bbox": [
|
| 1643 |
+
582,
|
| 1644 |
+
612,
|
| 1645 |
+
888,
|
| 1646 |
+
637
|
| 1647 |
+
],
|
| 1648 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1649 |
+
"color_palette": [
|
| 1650 |
+
"#111827"
|
| 1651 |
+
],
|
| 1652 |
+
"node_kind": "group"
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"type": "shape",
|
| 1656 |
+
"label": "<shape 87>",
|
| 1657 |
+
"parent": "<data_item 86>",
|
| 1658 |
+
"bbox": [
|
| 1659 |
+
582,
|
| 1660 |
+
612,
|
| 1661 |
+
888,
|
| 1662 |
+
637
|
| 1663 |
+
],
|
| 1664 |
+
"desc": "A horizontal bar for 1800 / Marble, encoding 92.",
|
| 1665 |
+
"color_palette": [
|
| 1666 |
+
"#000000"
|
| 1667 |
+
],
|
| 1668 |
+
"node_kind": "element",
|
| 1669 |
+
"role": "data_mark",
|
| 1670 |
+
"role_family": "data_expression"
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"type": "text",
|
| 1674 |
+
"label": "<text 88>",
|
| 1675 |
+
"parent": "<data_item 86>",
|
| 1676 |
+
"bbox": [
|
| 1677 |
+
870,
|
| 1678 |
+
616,
|
| 1679 |
+
884,
|
| 1680 |
+
632
|
| 1681 |
+
],
|
| 1682 |
+
"text": "92",
|
| 1683 |
+
"desc": "A medium-scale, extra-bold, right-aligned value label.",
|
| 1684 |
+
"color_palette": [
|
| 1685 |
+
"#111827"
|
| 1686 |
+
],
|
| 1687 |
+
"node_kind": "element",
|
| 1688 |
+
"role": "value_label",
|
| 1689 |
+
"role_family": "data_expression"
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"type": "data_item",
|
| 1693 |
+
"label": "<data_item 89>",
|
| 1694 |
+
"parent": "<chart 5>",
|
| 1695 |
+
"bbox": [
|
| 1696 |
+
424,
|
| 1697 |
+
649,
|
| 1698 |
+
893,
|
| 1699 |
+
684
|
| 1700 |
+
],
|
| 1701 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1702 |
+
"color_palette": [
|
| 1703 |
+
"#F0F0F0",
|
| 1704 |
+
"#3060A8",
|
| 1705 |
+
"#4878A8",
|
| 1706 |
+
"#D8D8F0",
|
| 1707 |
+
"#C0D8D8"
|
| 1708 |
+
],
|
| 1709 |
+
"node_kind": "group"
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"type": "image",
|
| 1713 |
+
"label": "<image 90>",
|
| 1714 |
+
"parent": "<data_item 89>",
|
| 1715 |
+
"bbox": [
|
| 1716 |
+
424,
|
| 1717 |
+
649,
|
| 1718 |
+
444,
|
| 1719 |
+
684
|
| 1720 |
+
],
|
| 1721 |
+
"desc": "An icon representing 1850.",
|
| 1722 |
+
"color_palette": [
|
| 1723 |
+
"#F0F0F0",
|
| 1724 |
+
"#3060A8",
|
| 1725 |
+
"#4878A8",
|
| 1726 |
+
"#D8D8F0",
|
| 1727 |
+
"#C0D8D8"
|
| 1728 |
+
],
|
| 1729 |
+
"node_kind": "element",
|
| 1730 |
+
"role": "subject_depiction",
|
| 1731 |
+
"role_family": "context"
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"type": "shape",
|
| 1735 |
+
"label": "<shape 91>",
|
| 1736 |
+
"parent": "<data_item 89>",
|
| 1737 |
+
"bbox": [
|
| 1738 |
+
429,
|
| 1739 |
+
659,
|
| 1740 |
+
438,
|
| 1741 |
+
674
|
| 1742 |
+
],
|
| 1743 |
+
"desc": "A series point marking one observation.",
|
| 1744 |
+
"color_palette": [
|
| 1745 |
+
"#FFFFFF"
|
| 1746 |
+
],
|
| 1747 |
+
"node_kind": "element",
|
| 1748 |
+
"role": "data_mark",
|
| 1749 |
+
"role_family": "data_expression"
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"type": "text",
|
| 1753 |
+
"label": "<text 92>",
|
| 1754 |
+
"parent": "<data_item 89>",
|
| 1755 |
+
"bbox": [
|
| 1756 |
+
456,
|
| 1757 |
+
658,
|
| 1758 |
+
481,
|
| 1759 |
+
675
|
| 1760 |
+
],
|
| 1761 |
+
"text": "1850",
|
| 1762 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1763 |
+
"color_palette": [
|
| 1764 |
+
"#102822"
|
| 1765 |
+
],
|
| 1766 |
+
"node_kind": "element",
|
| 1767 |
+
"role": "entity_label",
|
| 1768 |
+
"role_family": "reading_reference"
|
| 1769 |
+
},
|
| 1770 |
+
{
|
| 1771 |
+
"type": "data_item",
|
| 1772 |
+
"label": "<data_item 93>",
|
| 1773 |
+
"parent": "<data_item 89>",
|
| 1774 |
+
"bbox": [
|
| 1775 |
+
582,
|
| 1776 |
+
654,
|
| 1777 |
+
893,
|
| 1778 |
+
679
|
| 1779 |
+
],
|
| 1780 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1781 |
+
"color_palette": [
|
| 1782 |
+
"#111827"
|
| 1783 |
+
],
|
| 1784 |
+
"node_kind": "group"
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"type": "shape",
|
| 1788 |
+
"label": "<shape 94>",
|
| 1789 |
+
"parent": "<data_item 93>",
|
| 1790 |
+
"bbox": [
|
| 1791 |
+
582,
|
| 1792 |
+
654,
|
| 1793 |
+
875,
|
| 1794 |
+
679
|
| 1795 |
+
],
|
| 1796 |
+
"desc": "A horizontal bar for 1850 / Marble, encoding 88.",
|
| 1797 |
+
"color_palette": [
|
| 1798 |
+
"#000000"
|
| 1799 |
+
],
|
| 1800 |
+
"node_kind": "element",
|
| 1801 |
+
"role": "data_mark",
|
| 1802 |
+
"role_family": "data_expression"
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"type": "text",
|
| 1806 |
+
"label": "<text 95>",
|
| 1807 |
+
"parent": "<data_item 93>",
|
| 1808 |
+
"bbox": [
|
| 1809 |
+
880,
|
| 1810 |
+
658,
|
| 1811 |
+
893,
|
| 1812 |
+
675
|
| 1813 |
+
],
|
| 1814 |
+
"text": "88",
|
| 1815 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1816 |
+
"color_palette": [
|
| 1817 |
+
"#111827"
|
| 1818 |
+
],
|
| 1819 |
+
"node_kind": "element",
|
| 1820 |
+
"role": "value_label",
|
| 1821 |
+
"role_family": "data_expression"
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"type": "data_item",
|
| 1825 |
+
"label": "<data_item 96>",
|
| 1826 |
+
"parent": "<chart 5>",
|
| 1827 |
+
"bbox": [
|
| 1828 |
+
424,
|
| 1829 |
+
692,
|
| 1830 |
+
873,
|
| 1831 |
+
726
|
| 1832 |
+
],
|
| 1833 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1834 |
+
"color_palette": [
|
| 1835 |
+
"#607878",
|
| 1836 |
+
"#D83048",
|
| 1837 |
+
"#606078",
|
| 1838 |
+
"#C06060",
|
| 1839 |
+
"#D86060"
|
| 1840 |
+
],
|
| 1841 |
+
"node_kind": "group"
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"type": "image",
|
| 1845 |
+
"label": "<image 97>",
|
| 1846 |
+
"parent": "<data_item 96>",
|
| 1847 |
+
"bbox": [
|
| 1848 |
+
424,
|
| 1849 |
+
692,
|
| 1850 |
+
444,
|
| 1851 |
+
726
|
| 1852 |
+
],
|
| 1853 |
+
"desc": "An icon representing 1900.",
|
| 1854 |
+
"color_palette": [
|
| 1855 |
+
"#607878",
|
| 1856 |
+
"#D83048",
|
| 1857 |
+
"#606078",
|
| 1858 |
+
"#C06060",
|
| 1859 |
+
"#D86060"
|
| 1860 |
+
],
|
| 1861 |
+
"node_kind": "element",
|
| 1862 |
+
"role": "subject_depiction",
|
| 1863 |
+
"role_family": "context"
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"type": "shape",
|
| 1867 |
+
"label": "<shape 98>",
|
| 1868 |
+
"parent": "<data_item 96>",
|
| 1869 |
+
"bbox": [
|
| 1870 |
+
429,
|
| 1871 |
+
701,
|
| 1872 |
+
438,
|
| 1873 |
+
717
|
| 1874 |
+
],
|
| 1875 |
+
"desc": "A series point marking one observation.",
|
| 1876 |
+
"color_palette": [
|
| 1877 |
+
"#FFFFFF"
|
| 1878 |
+
],
|
| 1879 |
+
"node_kind": "element",
|
| 1880 |
+
"role": "data_mark",
|
| 1881 |
+
"role_family": "data_expression"
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"type": "text",
|
| 1885 |
+
"label": "<text 99>",
|
| 1886 |
+
"parent": "<data_item 96>",
|
| 1887 |
+
"bbox": [
|
| 1888 |
+
456,
|
| 1889 |
+
700,
|
| 1890 |
+
481,
|
| 1891 |
+
717
|
| 1892 |
+
],
|
| 1893 |
+
"text": "1900",
|
| 1894 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 1895 |
+
"color_palette": [
|
| 1896 |
+
"#102822"
|
| 1897 |
+
],
|
| 1898 |
+
"node_kind": "element",
|
| 1899 |
+
"role": "entity_label",
|
| 1900 |
+
"role_family": "reading_reference"
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"type": "data_item",
|
| 1904 |
+
"label": "<data_item 100>",
|
| 1905 |
+
"parent": "<data_item 96>",
|
| 1906 |
+
"bbox": [
|
| 1907 |
+
582,
|
| 1908 |
+
696,
|
| 1909 |
+
873,
|
| 1910 |
+
722
|
| 1911 |
+
],
|
| 1912 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 1913 |
+
"color_palette": [
|
| 1914 |
+
"#111827"
|
| 1915 |
+
],
|
| 1916 |
+
"node_kind": "group"
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"type": "shape",
|
| 1920 |
+
"label": "<shape 101>",
|
| 1921 |
+
"parent": "<data_item 100>",
|
| 1922 |
+
"bbox": [
|
| 1923 |
+
582,
|
| 1924 |
+
696,
|
| 1925 |
+
855,
|
| 1926 |
+
722
|
| 1927 |
+
],
|
| 1928 |
+
"desc": "A horizontal bar for 1900 / Marble, encoding 82.",
|
| 1929 |
+
"color_palette": [
|
| 1930 |
+
"#000000"
|
| 1931 |
+
],
|
| 1932 |
+
"node_kind": "element",
|
| 1933 |
+
"role": "data_mark",
|
| 1934 |
+
"role_family": "data_expression"
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"type": "text",
|
| 1938 |
+
"label": "<text 102>",
|
| 1939 |
+
"parent": "<data_item 100>",
|
| 1940 |
+
"bbox": [
|
| 1941 |
+
860,
|
| 1942 |
+
701,
|
| 1943 |
+
873,
|
| 1944 |
+
717
|
| 1945 |
+
],
|
| 1946 |
+
"text": "82",
|
| 1947 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 1948 |
+
"color_palette": [
|
| 1949 |
+
"#111827"
|
| 1950 |
+
],
|
| 1951 |
+
"node_kind": "element",
|
| 1952 |
+
"role": "value_label",
|
| 1953 |
+
"role_family": "data_expression"
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"type": "data_item",
|
| 1957 |
+
"label": "<data_item 103>",
|
| 1958 |
+
"parent": "<chart 5>",
|
| 1959 |
+
"bbox": [
|
| 1960 |
+
424,
|
| 1961 |
+
734,
|
| 1962 |
+
850,
|
| 1963 |
+
769
|
| 1964 |
+
],
|
| 1965 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 1966 |
+
"color_palette": [
|
| 1967 |
+
"#607878",
|
| 1968 |
+
"#D83048",
|
| 1969 |
+
"#606078",
|
| 1970 |
+
"#C06060",
|
| 1971 |
+
"#D86060"
|
| 1972 |
+
],
|
| 1973 |
+
"node_kind": "group"
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"type": "image",
|
| 1977 |
+
"label": "<image 104>",
|
| 1978 |
+
"parent": "<data_item 103>",
|
| 1979 |
+
"bbox": [
|
| 1980 |
+
424,
|
| 1981 |
+
734,
|
| 1982 |
+
444,
|
| 1983 |
+
769
|
| 1984 |
+
],
|
| 1985 |
+
"desc": "An icon representing 1950.",
|
| 1986 |
+
"color_palette": [
|
| 1987 |
+
"#607878",
|
| 1988 |
+
"#D83048",
|
| 1989 |
+
"#606078",
|
| 1990 |
+
"#C06060",
|
| 1991 |
+
"#D86060"
|
| 1992 |
+
],
|
| 1993 |
+
"node_kind": "element",
|
| 1994 |
+
"role": "subject_depiction",
|
| 1995 |
+
"role_family": "context"
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"type": "shape",
|
| 1999 |
+
"label": "<shape 105>",
|
| 2000 |
+
"parent": "<data_item 103>",
|
| 2001 |
+
"bbox": [
|
| 2002 |
+
429,
|
| 2003 |
+
744,
|
| 2004 |
+
438,
|
| 2005 |
+
759
|
| 2006 |
+
],
|
| 2007 |
+
"desc": "A series point marking one observation.",
|
| 2008 |
+
"color_palette": [
|
| 2009 |
+
"#FFFFFF"
|
| 2010 |
+
],
|
| 2011 |
+
"node_kind": "element",
|
| 2012 |
+
"role": "data_mark",
|
| 2013 |
+
"role_family": "data_expression"
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"type": "text",
|
| 2017 |
+
"label": "<text 106>",
|
| 2018 |
+
"parent": "<data_item 103>",
|
| 2019 |
+
"bbox": [
|
| 2020 |
+
456,
|
| 2021 |
+
742,
|
| 2022 |
+
481,
|
| 2023 |
+
759
|
| 2024 |
+
],
|
| 2025 |
+
"text": "1950",
|
| 2026 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 2027 |
+
"color_palette": [
|
| 2028 |
+
"#102822"
|
| 2029 |
+
],
|
| 2030 |
+
"node_kind": "element",
|
| 2031 |
+
"role": "entity_label",
|
| 2032 |
+
"role_family": "reading_reference"
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"type": "data_item",
|
| 2036 |
+
"label": "<data_item 107>",
|
| 2037 |
+
"parent": "<data_item 103>",
|
| 2038 |
+
"bbox": [
|
| 2039 |
+
582,
|
| 2040 |
+
738,
|
| 2041 |
+
850,
|
| 2042 |
+
764
|
| 2043 |
+
],
|
| 2044 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 2045 |
+
"color_palette": [
|
| 2046 |
+
"#111827"
|
| 2047 |
+
],
|
| 2048 |
+
"node_kind": "group"
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"type": "shape",
|
| 2052 |
+
"label": "<shape 108>",
|
| 2053 |
+
"parent": "<data_item 107>",
|
| 2054 |
+
"bbox": [
|
| 2055 |
+
582,
|
| 2056 |
+
738,
|
| 2057 |
+
832,
|
| 2058 |
+
764
|
| 2059 |
+
],
|
| 2060 |
+
"desc": "A horizontal bar for 1950 / Marble, encoding 75.",
|
| 2061 |
+
"color_palette": [
|
| 2062 |
+
"#000000"
|
| 2063 |
+
],
|
| 2064 |
+
"node_kind": "element",
|
| 2065 |
+
"role": "data_mark",
|
| 2066 |
+
"role_family": "data_expression"
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"type": "text",
|
| 2070 |
+
"label": "<text 109>",
|
| 2071 |
+
"parent": "<data_item 107>",
|
| 2072 |
+
"bbox": [
|
| 2073 |
+
837,
|
| 2074 |
+
743,
|
| 2075 |
+
850,
|
| 2076 |
+
759
|
| 2077 |
+
],
|
| 2078 |
+
"text": "75",
|
| 2079 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 2080 |
+
"color_palette": [
|
| 2081 |
+
"#111827"
|
| 2082 |
+
],
|
| 2083 |
+
"node_kind": "element",
|
| 2084 |
+
"role": "value_label",
|
| 2085 |
+
"role_family": "data_expression"
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"type": "data_item",
|
| 2089 |
+
"label": "<data_item 110>",
|
| 2090 |
+
"parent": "<chart 5>",
|
| 2091 |
+
"bbox": [
|
| 2092 |
+
424,
|
| 2093 |
+
776,
|
| 2094 |
+
827,
|
| 2095 |
+
811
|
| 2096 |
+
],
|
| 2097 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 2098 |
+
"color_palette": [
|
| 2099 |
+
"#607878",
|
| 2100 |
+
"#D83048",
|
| 2101 |
+
"#606078",
|
| 2102 |
+
"#C06060",
|
| 2103 |
+
"#D86060"
|
| 2104 |
+
],
|
| 2105 |
+
"node_kind": "group"
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"type": "image",
|
| 2109 |
+
"label": "<image 111>",
|
| 2110 |
+
"parent": "<data_item 110>",
|
| 2111 |
+
"bbox": [
|
| 2112 |
+
424,
|
| 2113 |
+
776,
|
| 2114 |
+
444,
|
| 2115 |
+
811
|
| 2116 |
+
],
|
| 2117 |
+
"desc": "An icon representing 2000.",
|
| 2118 |
+
"color_palette": [
|
| 2119 |
+
"#607878",
|
| 2120 |
+
"#D83048",
|
| 2121 |
+
"#606078",
|
| 2122 |
+
"#C06060",
|
| 2123 |
+
"#D86060"
|
| 2124 |
+
],
|
| 2125 |
+
"node_kind": "element",
|
| 2126 |
+
"role": "subject_depiction",
|
| 2127 |
+
"role_family": "context"
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"type": "shape",
|
| 2131 |
+
"label": "<shape 112>",
|
| 2132 |
+
"parent": "<data_item 110>",
|
| 2133 |
+
"bbox": [
|
| 2134 |
+
429,
|
| 2135 |
+
786,
|
| 2136 |
+
438,
|
| 2137 |
+
801
|
| 2138 |
+
],
|
| 2139 |
+
"desc": "A series point marking one observation.",
|
| 2140 |
+
"color_palette": [
|
| 2141 |
+
"#FFFFFF"
|
| 2142 |
+
],
|
| 2143 |
+
"node_kind": "element",
|
| 2144 |
+
"role": "data_mark",
|
| 2145 |
+
"role_family": "data_expression"
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"type": "text",
|
| 2149 |
+
"label": "<text 113>",
|
| 2150 |
+
"parent": "<data_item 110>",
|
| 2151 |
+
"bbox": [
|
| 2152 |
+
455,
|
| 2153 |
+
784,
|
| 2154 |
+
481,
|
| 2155 |
+
802
|
| 2156 |
+
],
|
| 2157 |
+
"text": "2000",
|
| 2158 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 2159 |
+
"color_palette": [
|
| 2160 |
+
"#102822"
|
| 2161 |
+
],
|
| 2162 |
+
"node_kind": "element",
|
| 2163 |
+
"role": "entity_label",
|
| 2164 |
+
"role_family": "reading_reference"
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"type": "data_item",
|
| 2168 |
+
"label": "<data_item 114>",
|
| 2169 |
+
"parent": "<data_item 110>",
|
| 2170 |
+
"bbox": [
|
| 2171 |
+
582,
|
| 2172 |
+
781,
|
| 2173 |
+
827,
|
| 2174 |
+
806
|
| 2175 |
+
],
|
| 2176 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 2177 |
+
"color_palette": [
|
| 2178 |
+
"#111827"
|
| 2179 |
+
],
|
| 2180 |
+
"node_kind": "group"
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"type": "shape",
|
| 2184 |
+
"label": "<shape 115>",
|
| 2185 |
+
"parent": "<data_item 114>",
|
| 2186 |
+
"bbox": [
|
| 2187 |
+
582,
|
| 2188 |
+
781,
|
| 2189 |
+
809,
|
| 2190 |
+
806
|
| 2191 |
+
],
|
| 2192 |
+
"desc": "A horizontal bar for 2000 / Marble, encoding 68.",
|
| 2193 |
+
"color_palette": [
|
| 2194 |
+
"#000000"
|
| 2195 |
+
],
|
| 2196 |
+
"node_kind": "element",
|
| 2197 |
+
"role": "data_mark",
|
| 2198 |
+
"role_family": "data_expression"
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"type": "text",
|
| 2202 |
+
"label": "<text 116>",
|
| 2203 |
+
"parent": "<data_item 114>",
|
| 2204 |
+
"bbox": [
|
| 2205 |
+
813,
|
| 2206 |
+
785,
|
| 2207 |
+
827,
|
| 2208 |
+
801
|
| 2209 |
+
],
|
| 2210 |
+
"text": "68",
|
| 2211 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 2212 |
+
"color_palette": [
|
| 2213 |
+
"#111827"
|
| 2214 |
+
],
|
| 2215 |
+
"node_kind": "element",
|
| 2216 |
+
"role": "value_label",
|
| 2217 |
+
"role_family": "data_expression"
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"type": "data_item",
|
| 2221 |
+
"label": "<data_item 117>",
|
| 2222 |
+
"parent": "<chart 5>",
|
| 2223 |
+
"bbox": [
|
| 2224 |
+
424,
|
| 2225 |
+
818,
|
| 2226 |
+
800,
|
| 2227 |
+
853
|
| 2228 |
+
],
|
| 2229 |
+
"desc": "A data row containing one category icon, one series point, one category label, and one data item.",
|
| 2230 |
+
"color_palette": [
|
| 2231 |
+
"#607878",
|
| 2232 |
+
"#D83048",
|
| 2233 |
+
"#606078",
|
| 2234 |
+
"#C06060",
|
| 2235 |
+
"#D86060"
|
| 2236 |
+
],
|
| 2237 |
+
"node_kind": "group"
|
| 2238 |
+
},
|
| 2239 |
+
{
|
| 2240 |
+
"type": "image",
|
| 2241 |
+
"label": "<image 118>",
|
| 2242 |
+
"parent": "<data_item 117>",
|
| 2243 |
+
"bbox": [
|
| 2244 |
+
424,
|
| 2245 |
+
818,
|
| 2246 |
+
444,
|
| 2247 |
+
853
|
| 2248 |
+
],
|
| 2249 |
+
"desc": "An icon representing 2024.",
|
| 2250 |
+
"color_palette": [
|
| 2251 |
+
"#607878",
|
| 2252 |
+
"#D83048",
|
| 2253 |
+
"#606078",
|
| 2254 |
+
"#C06060",
|
| 2255 |
+
"#D86060"
|
| 2256 |
+
],
|
| 2257 |
+
"node_kind": "element",
|
| 2258 |
+
"role": "subject_depiction",
|
| 2259 |
+
"role_family": "context"
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"type": "shape",
|
| 2263 |
+
"label": "<shape 119>",
|
| 2264 |
+
"parent": "<data_item 117>",
|
| 2265 |
+
"bbox": [
|
| 2266 |
+
429,
|
| 2267 |
+
828,
|
| 2268 |
+
438,
|
| 2269 |
+
843
|
| 2270 |
+
],
|
| 2271 |
+
"desc": "A series point marking one observation.",
|
| 2272 |
+
"color_palette": [
|
| 2273 |
+
"#FFFFFF"
|
| 2274 |
+
],
|
| 2275 |
+
"node_kind": "element",
|
| 2276 |
+
"role": "data_mark",
|
| 2277 |
+
"role_family": "data_expression"
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"type": "text",
|
| 2281 |
+
"label": "<text 120>",
|
| 2282 |
+
"parent": "<data_item 117>",
|
| 2283 |
+
"bbox": [
|
| 2284 |
+
455,
|
| 2285 |
+
827,
|
| 2286 |
+
481,
|
| 2287 |
+
844
|
| 2288 |
+
],
|
| 2289 |
+
"text": "2024",
|
| 2290 |
+
"desc": "A medium-scale, medium numeric category label.",
|
| 2291 |
+
"color_palette": [
|
| 2292 |
+
"#102822"
|
| 2293 |
+
],
|
| 2294 |
+
"node_kind": "element",
|
| 2295 |
+
"role": "entity_label",
|
| 2296 |
+
"role_family": "reading_reference"
|
| 2297 |
+
},
|
| 2298 |
+
{
|
| 2299 |
+
"type": "data_item",
|
| 2300 |
+
"label": "<data_item 121>",
|
| 2301 |
+
"parent": "<data_item 117>",
|
| 2302 |
+
"bbox": [
|
| 2303 |
+
582,
|
| 2304 |
+
823,
|
| 2305 |
+
800,
|
| 2306 |
+
848
|
| 2307 |
+
],
|
| 2308 |
+
"desc": "A data item containing one horizontal bar and one value label.",
|
| 2309 |
+
"color_palette": [
|
| 2310 |
+
"#111827"
|
| 2311 |
+
],
|
| 2312 |
+
"node_kind": "group"
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"type": "shape",
|
| 2316 |
+
"label": "<shape 122>",
|
| 2317 |
+
"parent": "<data_item 121>",
|
| 2318 |
+
"bbox": [
|
| 2319 |
+
582,
|
| 2320 |
+
823,
|
| 2321 |
+
782,
|
| 2322 |
+
848
|
| 2323 |
+
],
|
| 2324 |
+
"desc": "A horizontal bar for 2024 / Marble, encoding 60.",
|
| 2325 |
+
"color_palette": [
|
| 2326 |
+
"#000000"
|
| 2327 |
+
],
|
| 2328 |
+
"node_kind": "element",
|
| 2329 |
+
"role": "data_mark",
|
| 2330 |
+
"role_family": "data_expression"
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"type": "text",
|
| 2334 |
+
"label": "<text 123>",
|
| 2335 |
+
"parent": "<data_item 121>",
|
| 2336 |
+
"bbox": [
|
| 2337 |
+
787,
|
| 2338 |
+
827,
|
| 2339 |
+
800,
|
| 2340 |
+
843
|
| 2341 |
+
],
|
| 2342 |
+
"text": "60",
|
| 2343 |
+
"desc": "A medium-scale, extra-bold value label.",
|
| 2344 |
+
"color_palette": [
|
| 2345 |
+
"#111827"
|
| 2346 |
+
],
|
| 2347 |
+
"node_kind": "element",
|
| 2348 |
+
"role": "value_label",
|
| 2349 |
+
"role_family": "data_expression"
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"type": "image",
|
| 2353 |
+
"label": "<image 124>",
|
| 2354 |
+
"parent": "ROOT",
|
| 2355 |
+
"bbox": [
|
| 2356 |
+
181,
|
| 2357 |
+
384,
|
| 2358 |
+
331,
|
| 2359 |
+
713
|
| 2360 |
+
],
|
| 2361 |
+
"desc": "Classical marble bust illustration.",
|
| 2362 |
+
"color_palette": [
|
| 2363 |
+
"#D8D8C0",
|
| 2364 |
+
"#D8D8D8",
|
| 2365 |
+
"#C0C0A8",
|
| 2366 |
+
"#D8C0C0",
|
| 2367 |
+
"#C0A890"
|
| 2368 |
+
],
|
| 2369 |
+
"node_kind": "element",
|
| 2370 |
+
"role": "subject_depiction",
|
| 2371 |
+
"role_family": "context"
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"type": "panel",
|
| 2375 |
+
"label": "<panel 125>",
|
| 2376 |
+
"parent": "ROOT",
|
| 2377 |
+
"bbox": [
|
| 2378 |
+
127,
|
| 2379 |
+
758,
|
| 2380 |
+
385,
|
| 2381 |
+
884
|
| 2382 |
+
],
|
| 2383 |
+
"desc": "A callout containing one callout surface and one callout text.",
|
| 2384 |
+
"color_palette": [
|
| 2385 |
+
"#EAF1FF",
|
| 2386 |
+
"#5C8AF0",
|
| 2387 |
+
"#0F172A"
|
| 2388 |
+
],
|
| 2389 |
+
"node_kind": "group"
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"type": "shape",
|
| 2393 |
+
"label": "<shape 126>",
|
| 2394 |
+
"parent": "<panel 125>",
|
| 2395 |
+
"bbox": [
|
| 2396 |
+
127,
|
| 2397 |
+
758,
|
| 2398 |
+
385,
|
| 2399 |
+
884
|
| 2400 |
+
],
|
| 2401 |
+
"desc": "A rounded callout background.",
|
| 2402 |
+
"color_palette": [
|
| 2403 |
+
"#EAF1FF",
|
| 2404 |
+
"#5C8AF0"
|
| 2405 |
+
],
|
| 2406 |
+
"node_kind": "element",
|
| 2407 |
+
"role": "boundary",
|
| 2408 |
+
"role_family": "presentation"
|
| 2409 |
+
},
|
| 2410 |
+
{
|
| 2411 |
+
"type": "text",
|
| 2412 |
+
"label": "<text 127>",
|
| 2413 |
+
"parent": "<panel 125>",
|
| 2414 |
+
"bbox": [
|
| 2415 |
+
133,
|
| 2416 |
+
789,
|
| 2417 |
+
343,
|
| 2418 |
+
853
|
| 2419 |
+
],
|
| 2420 |
+
"text": "Bronze maintains higher\nscores over time.",
|
| 2421 |
+
"desc": "A 2-line, large-scale, bold callout text.",
|
| 2422 |
+
"color_palette": [
|
| 2423 |
+
"#0F172A"
|
| 2424 |
+
],
|
| 2425 |
+
"node_kind": "element",
|
| 2426 |
+
"role": "explanation",
|
| 2427 |
+
"role_family": "context"
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"type": "text",
|
| 2431 |
+
"label": "<text 128>",
|
| 2432 |
+
"parent": "ROOT",
|
| 2433 |
+
"bbox": [
|
| 2434 |
+
15,
|
| 2435 |
+
945,
|
| 2436 |
+
398,
|
| 2437 |
+
974
|
| 2438 |
+
],
|
| 2439 |
+
"text": "Source: Historical Material Science Data | Durability Score (0-100)",
|
| 2440 |
+
"desc": "A medium-scale source note.",
|
| 2441 |
+
"color_palette": [
|
| 2442 |
+
"#111827"
|
| 2443 |
+
],
|
| 2444 |
+
"node_kind": "element",
|
| 2445 |
+
"role": "source_credit",
|
| 2446 |
+
"role_family": "context"
|
| 2447 |
+
}
|
| 2448 |
+
]
|
| 2449 |
+
}
|
| 2450 |
+
}
|
smoke/prediction.raw.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"high_level_description":"Frame the piece as a landscape digital vector graphic infographic led by a horizontal group bar chart. The chart shows durability scores for <text 6> and <text 14> materials over time.\n\nThe composition assigns a dominant region at the right side to <chart 5>. Inside it, the quantitative marks, labels, and structural guides remain visually coordinated.\n\nUse <text 2> and <text 3> as the editorial entry point in the upper left, with a clear hierarchy of scale, weight, and spacing. Additional context comes from <image 124> at the middle left, <panel 125> at the lower left, <text 128> at the lower left, and <shape 4> at the upper left.\n\nUse clean, modern editorial design with a focus on data clarity against a flat full-canvas field. Use even graphic lighting with subtle shadow effects for local depth and clear layer separation.","style_description":{"aesthetics":"Clean, modern editorial design with a focus on data clarity. Uses a light neutral background with high-contrast text and distinct color coding for data series. Minimalist data visualization with a focus on readability and hierarchy.","lighting":"Flat, even lighting typical of digital editorial graphics. or gradients on text or background.","medium":"Digital vector illustration and typography.","photo":null,"art_style":null,"color_palette":["#F5F7FA","#0F172A","#2563EB","#334155","#EAF1FF","#64748B"]},"elements":{"background":"A continuous flat field fills the full canvas with a flat, even finish without photographic depth. It remains visually quiet and contains no foreground subjects or text.","layout":[{"type":"panel","label":"<panel 1>","parent":"ROOT","bbox":[130,40,352,338],"desc":"A header containing one headline, one subheadline, and one section divider.","color_palette":["#0F172A","#334155","#2563EB"],"node_kind":"group"},{"type":"text","label":"<text 2>","parent":"<panel 1>","bbox":[134,40,314,143],"text":"MATERIAL\nDURABILITY","desc":"A 2-line, display-scale, extra-bold headline.","color_palette":["#0F172A"],"node_kind":"element","role":"heading","role_family":"context"},{"type":"text","label":"<text 3>","parent":"<panel 1>","bbox":[130,225,351,338],"text":"Comparing longevity of\nBronze vs. Marble from\n1800 to 2024","desc":"A 3-line, large-scale, medium subheadline.","color_palette":["#334155"],"node_kind":"element","role":"heading","role_family":"context"},{"type":"shape","label":"<shape 4>","parent":"<panel 1>","bbox":[159,189,352,201],"desc":"A thin horizontal section divider.","color_palette":["#2563EB"],"node_kind":"element","role":"separator","role_family":"presentation"},{"type":"chart","label":"<chart 5>","parent":"ROOT","bbox":[409,28,903,929],"desc":"A horizontal group bar chart containing 12 tick labels, 12 axis lines, 12 data rows, four badges, and two category labels.","color_palette":["#FFFFFF","#165C42","#111827","#6B705C","#CB997E"],"node_kind":"group"},{"type":"text","label":"<text 6>","parent":"<chart 5>","bbox":[483,62,545,83],"text":"BRONZE","desc":"A medium-scale, extra-bold category label.","color_palette":["#FFFFFF"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"text","label":"<text 7>","parent":"<chart 5>","bbox":[579,432,585,445],"text":"0","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 8>","parent":"<chart 5>","bbox":[640,432,650,445],"text":"19","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 9>","parent":"<chart 5>","bbox":[703,432,713,445],"text":"38","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 10>","parent":"<chart 5>","bbox":[766,432,777,445],"text":"57","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 11>","parent":"<chart 5>","bbox":[829,432,840,445],"text":"76","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 12>","parent":"<chart 5>","bbox":[892,432,903,445],"text":"95","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 13>","parent":"<chart 5>","bbox":[703,445,776,462],"text":"Durability Score","desc":"A medium-scale, extra-bold, centered axis title.","color_palette":["#165C42"],"node_kind":"element","role":"axis_title","role_family":"reading_reference"},{"type":"text","label":"<text 14>","parent":"<chart 5>","bbox":[483,529,546,550],"text":"MARBLE","desc":"A medium-scale, extra-bold category label.","color_palette":["#111827"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"text","label":"<text 15>","parent":"<chart 5>","bbox":[579,899,585,912],"text":"0","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 16>","parent":"<chart 5>","bbox":[640,899,650,912],"text":"19","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 17>","parent":"<chart 5>","bbox":[703,899,713,912],"text":"38","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 18>","parent":"<chart 5>","bbox":[766,899,777,912],"text":"57","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 19>","parent":"<chart 5>","bbox":[829,899,840,912],"text":"76","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 20>","parent":"<chart 5>","bbox":[892,899,903,912],"text":"95","desc":"A small-scale, semibold, centered numeric tick label.","color_palette":["#165C42"],"node_kind":"element","role":"tick_label","role_family":"reading_reference"},{"type":"text","label":"<text 21>","parent":"<chart 5>","bbox":[703,912,776,929],"text":"Durability Score","desc":"A medium-scale, extra-bold, centered axis title.","color_palette":["#165C42"],"node_kind":"element","role":"axis_title","role_family":"reading_reference"},{"type":"shape","label":"<shape 22>","parent":"<chart 5>","bbox":[464,46,642,101],"desc":"A badge.","color_palette":["#6B705C"],"node_kind":"element","role":"boundary","role_family":"presentation"},{"type":"shape","label":"<shape 23>","parent":"<chart 5>","bbox":[464,513,642,568],"desc":"A badge.","color_palette":["#CB997E"],"node_kind":"element","role":"boundary","role_family":"presentation"},{"type":"image","label":"<image 24>","parent":"<chart 5>","bbox":[409,28,460,119],"desc":"An icon representing Bronze.","color_palette":["#483018","#301818","#303018","#604830","#786048"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"image","label":"<image 25>","parent":"<chart 5>","bbox":[409,495,460,586],"desc":"An icon representing Marble.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 26>","parent":"<chart 5>","bbox":[423,54,445,93],"desc":"A badge.","color_palette":["#6B705C"],"node_kind":"element","role":"boundary","role_family":"presentation"},{"type":"shape","label":"<shape 27>","parent":"<chart 5>","bbox":[423,521,445,560],"desc":"A badge.","color_palette":["#CB997E"],"node_kind":"element","role":"boundary","role_family":"presentation"},{"type":"shape","label":"<shape 28>","parent":"<chart 5>","bbox":[581,417,583,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 29>","parent":"<chart 5>","bbox":[644,417,646,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 30>","parent":"<chart 5>","bbox":[834,417,836,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 31>","parent":"<chart 5>","bbox":[897,417,899,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 32>","parent":"<chart 5>","bbox":[581,884,583,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 33>","parent":"<chart 5>","bbox":[644,884,646,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 34>","parent":"<chart 5>","bbox":[834,884,836,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 35>","parent":"<chart 5>","bbox":[897,884,899,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 36>","parent":"<chart 5>","bbox":[708,417,709,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 37>","parent":"<chart 5>","bbox":[771,417,772,426],"desc":"The vertical axis baseline.","color_palette":["#000000","#6B705C"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 38>","parent":"<chart 5>","bbox":[708,884,709,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"shape","label":"<shape 39>","parent":"<chart 5>","bbox":[771,884,772,893],"desc":"The vertical axis baseline.","color_palette":["#000000","#CB997E"],"node_kind":"element","role":"axis_line","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 40>","parent":"<chart 5>","bbox":[424,140,898,175],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"group"},{"type":"image","label":"<image 41>","parent":"<data_item 40>","bbox":[424,140,444,175],"desc":"An icon representing 1800.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 42>","parent":"<data_item 40>","bbox":[429,150,438,165],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 43>","parent":"<data_item 40>","bbox":[456,149,481,166],"text":"1800","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 44>","parent":"<data_item 40>","bbox":[582,145,898,170],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#FFFFFF","#000000"],"node_kind":"group"},{"type":"shape","label":"<shape 45>","parent":"<data_item 44>","bbox":[582,145,898,170],"desc":"A horizontal bar for 1800 / Bronze, encoding 95.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 46>","parent":"<data_item 44>","bbox":[880,149,894,166],"text":"95","desc":"A medium-scale, extra-bold, right-aligned value label.","color_palette":["#FFFFFF","#000000"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 47>","parent":"<chart 5>","bbox":[424,183,892,217],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"group"},{"type":"image","label":"<image 48>","parent":"<data_item 47>","bbox":[424,183,444,217],"desc":"An icon representing 1850.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 49>","parent":"<data_item 47>","bbox":[429,192,438,208],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 50>","parent":"<data_item 47>","bbox":[456,191,481,208],"text":"1850","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 51>","parent":"<data_item 47>","bbox":[582,187,892,213],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#FFFFFF","#000000"],"node_kind":"group"},{"type":"shape","label":"<shape 52>","parent":"<data_item 51>","bbox":[582,187,892,213],"desc":"A horizontal bar for 1850 / Bronze, encoding 93.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 53>","parent":"<data_item 51>","bbox":[873,191,888,209],"text":"93","desc":"A medium-scale, extra-bold, right-aligned value label.","color_palette":["#FFFFFF","#000000"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 54>","parent":"<chart 5>","bbox":[424,225,900,260],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 55>","parent":"<data_item 54>","bbox":[424,225,444,260],"desc":"An icon representing 1900.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 56>","parent":"<data_item 54>","bbox":[429,234,438,250],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 57>","parent":"<data_item 54>","bbox":[456,233,481,250],"text":"1900","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 58>","parent":"<data_item 54>","bbox":[582,229,900,255],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#666A57"],"node_kind":"group"},{"type":"shape","label":"<shape 59>","parent":"<data_item 58>","bbox":[582,229,882,255],"desc":"A horizontal bar for 1900 / Bronze, encoding 90.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 60>","parent":"<data_item 58>","bbox":[886,234,900,250],"text":"90","desc":"A medium-scale, extra-bold value label.","color_palette":["#666A57"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 61>","parent":"<chart 5>","bbox":[424,267,893,302],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 62>","parent":"<data_item 61>","bbox":[424,267,444,302],"desc":"An icon representing 1950.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 63>","parent":"<data_item 61>","bbox":[429,277,438,292],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 64>","parent":"<data_item 61>","bbox":[456,275,481,292],"text":"1950","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 65>","parent":"<data_item 61>","bbox":[582,272,893,297],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#666A57"],"node_kind":"group"},{"type":"shape","label":"<shape 66>","parent":"<data_item 65>","bbox":[582,272,875,297],"desc":"A horizontal bar for 1950 / Bronze, encoding 88.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 67>","parent":"<data_item 65>","bbox":[880,276,893,292],"text":"88","desc":"A medium-scale, extra-bold value label.","color_palette":["#666A57"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 68>","parent":"<chart 5>","bbox":[424,309,883,344],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 69>","parent":"<data_item 68>","bbox":[424,309,444,344],"desc":"An icon representing 2000.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 70>","parent":"<data_item 68>","bbox":[429,319,438,334],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 71>","parent":"<data_item 68>","bbox":[455,317,481,335],"text":"2000","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 72>","parent":"<data_item 68>","bbox":[582,314,883,339],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#666A57"],"node_kind":"group"},{"type":"shape","label":"<shape 73>","parent":"<data_item 72>","bbox":[582,314,865,339],"desc":"A horizontal bar for 2000 / Bronze, encoding 85.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 74>","parent":"<data_item 72>","bbox":[870,318,883,334],"text":"85","desc":"A medium-scale, extra-bold value label.","color_palette":["#666A57"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 75>","parent":"<chart 5>","bbox":[424,351,873,386],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 76>","parent":"<data_item 75>","bbox":[424,351,444,386],"desc":"An icon representing 2024.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 77>","parent":"<data_item 75>","bbox":[429,361,438,376],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 78>","parent":"<data_item 75>","bbox":[455,360,481,377],"text":"2024","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 79>","parent":"<data_item 75>","bbox":[582,356,873,382],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#666A57"],"node_kind":"group"},{"type":"shape","label":"<shape 80>","parent":"<data_item 79>","bbox":[582,356,855,382],"desc":"A horizontal bar for 2024 / Bronze, encoding 82.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 81>","parent":"<data_item 79>","bbox":[860,360,873,377],"text":"82","desc":"A medium-scale, extra-bold value label.","color_palette":["#666A57"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 82>","parent":"<chart 5>","bbox":[424,607,888,642],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"group"},{"type":"image","label":"<image 83>","parent":"<data_item 82>","bbox":[424,607,444,642],"desc":"An icon representing 1800.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 84>","parent":"<data_item 82>","bbox":[429,617,438,632],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 85>","parent":"<data_item 82>","bbox":[456,615,481,633],"text":"1800","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 86>","parent":"<data_item 82>","bbox":[582,612,888,637],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 87>","parent":"<data_item 86>","bbox":[582,612,888,637],"desc":"A horizontal bar for 1800 / Marble, encoding 92.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 88>","parent":"<data_item 86>","bbox":[870,616,884,632],"text":"92","desc":"A medium-scale, extra-bold, right-aligned value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 89>","parent":"<chart 5>","bbox":[424,649,893,684],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"group"},{"type":"image","label":"<image 90>","parent":"<data_item 89>","bbox":[424,649,444,684],"desc":"An icon representing 1850.","color_palette":["#F0F0F0","#3060A8","#4878A8","#D8D8F0","#C0D8D8"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 91>","parent":"<data_item 89>","bbox":[429,659,438,674],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 92>","parent":"<data_item 89>","bbox":[456,658,481,675],"text":"1850","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 93>","parent":"<data_item 89>","bbox":[582,654,893,679],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 94>","parent":"<data_item 93>","bbox":[582,654,875,679],"desc":"A horizontal bar for 1850 / Marble, encoding 88.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 95>","parent":"<data_item 93>","bbox":[880,658,893,675],"text":"88","desc":"A medium-scale, extra-bold value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 96>","parent":"<chart 5>","bbox":[424,692,873,726],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 97>","parent":"<data_item 96>","bbox":[424,692,444,726],"desc":"An icon representing 1900.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 98>","parent":"<data_item 96>","bbox":[429,701,438,717],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 99>","parent":"<data_item 96>","bbox":[456,700,481,717],"text":"1900","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 100>","parent":"<data_item 96>","bbox":[582,696,873,722],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 101>","parent":"<data_item 100>","bbox":[582,696,855,722],"desc":"A horizontal bar for 1900 / Marble, encoding 82.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 102>","parent":"<data_item 100>","bbox":[860,701,873,717],"text":"82","desc":"A medium-scale, extra-bold value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 103>","parent":"<chart 5>","bbox":[424,734,850,769],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 104>","parent":"<data_item 103>","bbox":[424,734,444,769],"desc":"An icon representing 1950.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 105>","parent":"<data_item 103>","bbox":[429,744,438,759],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 106>","parent":"<data_item 103>","bbox":[456,742,481,759],"text":"1950","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 107>","parent":"<data_item 103>","bbox":[582,738,850,764],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 108>","parent":"<data_item 107>","bbox":[582,738,832,764],"desc":"A horizontal bar for 1950 / Marble, encoding 75.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 109>","parent":"<data_item 107>","bbox":[837,743,850,759],"text":"75","desc":"A medium-scale, extra-bold value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 110>","parent":"<chart 5>","bbox":[424,776,827,811],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 111>","parent":"<data_item 110>","bbox":[424,776,444,811],"desc":"An icon representing 2000.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 112>","parent":"<data_item 110>","bbox":[429,786,438,801],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 113>","parent":"<data_item 110>","bbox":[455,784,481,802],"text":"2000","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 114>","parent":"<data_item 110>","bbox":[582,781,827,806],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 115>","parent":"<data_item 114>","bbox":[582,781,809,806],"desc":"A horizontal bar for 2000 / Marble, encoding 68.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 116>","parent":"<data_item 114>","bbox":[813,785,827,801],"text":"68","desc":"A medium-scale, extra-bold value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"data_item","label":"<data_item 117>","parent":"<chart 5>","bbox":[424,818,800,853],"desc":"A data row containing one category icon, one series point, one category label, and one data item.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"group"},{"type":"image","label":"<image 118>","parent":"<data_item 117>","bbox":[424,818,444,853],"desc":"An icon representing 2024.","color_palette":["#607878","#D83048","#606078","#C06060","#D86060"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"shape","label":"<shape 119>","parent":"<data_item 117>","bbox":[429,828,438,843],"desc":"A series point marking one observation.","color_palette":["#FFFFFF"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 120>","parent":"<data_item 117>","bbox":[455,827,481,844],"text":"2024","desc":"A medium-scale, medium numeric category label.","color_palette":["#102822"],"node_kind":"element","role":"entity_label","role_family":"reading_reference"},{"type":"data_item","label":"<data_item 121>","parent":"<data_item 117>","bbox":[582,823,800,848],"desc":"A data item containing one horizontal bar and one value label.","color_palette":["#111827"],"node_kind":"group"},{"type":"shape","label":"<shape 122>","parent":"<data_item 121>","bbox":[582,823,782,848],"desc":"A horizontal bar for 2024 / Marble, encoding 60.","color_palette":["#000000"],"node_kind":"element","role":"data_mark","role_family":"data_expression"},{"type":"text","label":"<text 123>","parent":"<data_item 121>","bbox":[787,827,800,843],"text":"60","desc":"A medium-scale, extra-bold value label.","color_palette":["#111827"],"node_kind":"element","role":"value_label","role_family":"data_expression"},{"type":"image","label":"<image 124>","parent":"ROOT","bbox":[181,384,331,713],"desc":"Classical marble bust illustration.","color_palette":["#D8D8C0","#D8D8D8","#C0C0A8","#D8C0C0","#C0A890"],"node_kind":"element","role":"subject_depiction","role_family":"context"},{"type":"panel","label":"<panel 125>","parent":"ROOT","bbox":[127,758,385,884],"desc":"A callout containing one callout surface and one callout text.","color_palette":["#EAF1FF","#5C8AF0","#0F172A"],"node_kind":"group"},{"type":"shape","label":"<shape 126>","parent":"<panel 125>","bbox":[127,758,385,884],"desc":"A rounded callout background.","color_palette":["#EAF1FF","#5C8AF0"],"node_kind":"element","role":"boundary","role_family":"presentation"},{"type":"text","label":"<text 127>","parent":"<panel 125>","bbox":[133,789,343,853],"text":"Bronze maintains higher\nscores over time.","desc":"A 2-line, large-scale, bold callout text.","color_palette":["#0F172A"],"node_kind":"element","role":"explanation","role_family":"context"},{"type":"text","label":"<text 128>","parent":"ROOT","bbox":[15,945,398,974],"text":"Source: Historical Material Science Data | Durability Score (0-100)","desc":"A medium-scale source note.","color_palette":["#111827"],"node_kind":"element","role":"source_credit","role_family":"context"}]}}
|
smoke/validation.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "passed",
|
| 3 |
+
"date_utc": "2026-09-24T12:34:21.923430+00:00",
|
| 4 |
+
"scope": "One standalone image-to-JSON inference; no benchmark accuracy evaluation.",
|
| 5 |
+
"runtime": {
|
| 6 |
+
"python": "3.11.14",
|
| 7 |
+
"vllm": "0.20.2",
|
| 8 |
+
"torch": "2.11.0",
|
| 9 |
+
"transformers": "5.12.1",
|
| 10 |
+
"xgrammar": "0.1.32",
|
| 11 |
+
"cuda": "13.0"
|
| 12 |
+
},
|
| 13 |
+
"dependency_consistency_check": "passed",
|
| 14 |
+
"platform": "Linux x86_64",
|
| 15 |
+
"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition, 590.48.01",
|
| 16 |
+
"gpu_count": 1,
|
| 17 |
+
"input_sample_id": "d3-js_horizontal_group_bar_chart_horizontal_group_bar_chart_03/sample_28444",
|
| 18 |
+
"input_split": "train",
|
| 19 |
+
"input_image_sha256": "78967810fd2d2da24e9eac93e7b3f0ca439d4f202404fd042f0f318bdd4671ba",
|
| 20 |
+
"input_example": "Dataset repository: examples/01-layout/image.png",
|
| 21 |
+
"inference_spec_sha256": "a50023c63e657eff70e2cfdd42f384eedd085ffa34898aa6d7e34cb16618bbc7",
|
| 22 |
+
"requirements_sha256": "3906fb04e65a3815d7c4c4248b8ac0e8bfdacbc722ba44491be344ce225ec036",
|
| 23 |
+
"finish_reason": "stop",
|
| 24 |
+
"output_tokens": 11485,
|
| 25 |
+
"layout_items": 128,
|
| 26 |
+
"node_kinds": {
|
| 27 |
+
"group": 27,
|
| 28 |
+
"element": 101
|
| 29 |
+
},
|
| 30 |
+
"strict_json_parse": true,
|
| 31 |
+
"producer_schema_checks_passed": true,
|
| 32 |
+
"native_evaluator_schema_and_graph_checks_passed": true,
|
| 33 |
+
"recovery_used": false,
|
| 34 |
+
"raw_prediction_sha256": "bceee5f5cd9d33d5e9ead0095dfdfa572cbca752c9e35ee696dfcf4b5aad4334",
|
| 35 |
+
"prediction_sha256": "2510f614f11d9df4393af8822b23386ea4a0ef5323365eb82096d8c3d8947da6",
|
| 36 |
+
"model_assets_unchanged_and_hash_verified": 9,
|
| 37 |
+
"accuracy_measured": false
|
| 38 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|