Image-Text-to-Text
Transformers
Safetensors
qwen3_5
qwen3.5
video
video-captioning
data-engine
conversational
Instructions to use nvidia/Flora-Captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/Flora-Captioner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nvidia/Flora-Captioner") 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("nvidia/Flora-Captioner") model = AutoModelForMultimodalLM.from_pretrained("nvidia/Flora-Captioner", 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 nvidia/Flora-Captioner with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nvidia/Flora-Captioner" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nvidia/Flora-Captioner", "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/nvidia/Flora-Captioner
- SGLang
How to use nvidia/Flora-Captioner 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 "nvidia/Flora-Captioner" \ --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": "nvidia/Flora-Captioner", "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 "nvidia/Flora-Captioner" \ --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": "nvidia/Flora-Captioner", "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 nvidia/Flora-Captioner with Docker Model Runner:
docker model run hf.co/nvidia/Flora-Captioner
Omar L commited on
Stage final Flora-Captioner weights
Browse filesSource: flora-share/Flora-Captioner-Release@f09849e7ea1cf3e3a43db4feacbc9f31f52ecf8e
- MODEL_PROVENANCE.json +8 -21
- SOURCE_MANIFEST.sha256 +20 -12
- chat_template.jinja +10 -116
- config.json +57 -13
- generation_config.json +6 -11
- merges.txt +0 -0
- model-00001-of-00002.safetensors → model-00001-of-00011.safetensors +2 -2
- model-00002-of-00002.safetensors → model-00002-of-00011.safetensors +2 -2
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +0 -21
- processor_config.json +60 -0
- tokenizer.json +2 -2
- tokenizer_config.json +34 -304
- video_preprocessor_config.json +0 -21
- vocab.json +0 -0
MODEL_PROVENANCE.json
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{
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"base_model": "Qwen/Qwen3.5-27B",
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"schema_version": "nvember_data_engine_model_provenance_v1",
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"source_full_sha256_verified": true,
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"source_mutated": false,
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"training_lineage": "mecka_v3_redelivered_t2",
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"packaging_adjustments": [
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"file": "model.safetensors.index.json",
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"change": {
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"metadata.total_parameters": 27356728560
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},
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"original_sha256": "54adabdb313601233d9cbdd43a5f6ed8594f94bb95ad50459bdfe23fae901428",
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"packaged_sha256": "0424520f63f04816eee4d229a4487dc9744866ceb46513e591dd987e401b1663",
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"weights_changed": false
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}
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"schema_version": 2,
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"model": "Flora-captioner-27B",
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"selected_step": 88,
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"base_model": "Qwen/Qwen3.5-27B",
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"base_revision": "fc05daec18b0a78c049392ed2e771dde82bdf654",
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"format": "full model in sharded safetensors",
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"checkpoint_storage_dtype": "FP32",
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"source_model_identity_sha256": "2ab6cafd286df7f446bfb84fbc4af7c54773d5e890dd277ac5a0453d0d4fb778",
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"source_weights_modified": false
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}
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SOURCE_MANIFEST.sha256
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b1979e729def7828c8d7600692ba17a3913bdac6ddd152c22bfcabd3f0ad924e MODEL_PROVENANCE.json
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550949219039f7428a71f23cfc286618ba353c473d2accf15498ff9ca441e2d2 README.md
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d28ca68768ac2ce0ad42eaaf54d5bac4f8a298f7d017f5a04f3866094c65a839 chat_template.jinja
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81ac7cb6c4b9d01e4232891cd9c0cd041f7e3270b342f7641eb7043a345e98af config.json
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fb58199b78abc0e3c284d170ecddf488501ca9fe91d9e435d6801f85b1a50ff0 generation_config.json
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0f4d9f912a24d0912379daea0d83eac5dc63a454843e8a3b22ee3ec10ff1dde7 model-00001-of-00011.safetensors
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7e10584c66eadea47103516e24613a4dc565633327632b938650f2a8645fb993 model-00002-of-00011.safetensors
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38681bea96f265c5ea5d24b8eea36a3b84f396e7debbba471038a32b0d862863 model-00003-of-00011.safetensors
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4decbc89be8bedfc998579c353a4e98565b647353bfdf4423e5a2a4779d4e38f model-00004-of-00011.safetensors
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4d560b69491ed1831ce4b82176b181fab1409079bed3c4f91073126c03ca25a8 model-00005-of-00011.safetensors
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6f854df027e3c636a21d10d18c92c7d316a831544cef173e4ffccfc4dc0bb010 model-00006-of-00011.safetensors
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bedeafd96cf120d63e75b6334b43b50505a4201184fcec6b37c842eaaad22f4a model-00007-of-00011.safetensors
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205b635a10cc6104adb1f3cd77bd1328dad0caa9213d57b9f2e14901f4eed7fb model-00008-of-00011.safetensors
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9562cd68bfe99f1a3c08ff4f2e59c7b5dcb1fe89bc7259f875b5b5d3e750c3c8 model-00009-of-00011.safetensors
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accf251611ff0f638c7203df47953312618c489f3926e3435d74c53a7ee00727 model-00010-of-00011.safetensors
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89abf58cc40ff45f4871e00ff1eef61113fe07e3169bf0d6762b9774aae623db model-00011-of-00011.safetensors
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+
07bf5bc06f86a364da4422c25e6a979c8457136a4645399904d90af2e9703142 model.safetensors.index.json
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+
e4922da7a64698c34f0c16ee78b55b43709b77a9e48da6ae07eda4bf7e6e236d processor_config.json
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+
06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json
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+
b4c4e0a37983a58c329c8c4e25d59f3305fd344815f4ecb8c66a99323a254cf8 tokenizer_config.json
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chat_template.jinja
CHANGED
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{%-
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{%- set video_count = namespace(value=0) %}
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{%- macro render_content(content, do_vision_count, is_system_content=false) %}
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{%- if content is string %}
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{{- content }}
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{%- elif content is iterable and content is not mapping %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain images.') }}
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{%- endif %}
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{%- if do_vision_count %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- endif %}
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{%- if add_vision_id %}
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{{- 'Picture ' ~ image_count.value ~ ': ' }}
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{%- endif %}
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{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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{%- elif 'video' in item or item.type == 'video' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain videos.') }}
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{%- endif %}
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{%- if do_vision_count %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- endif %}
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{%- if add_vision_id %}
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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{%- endif %}
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{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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{%- elif 'text' in item %}
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{{- item.text }}
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{%- if not messages %}
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{{- raise_exception('No messages provided.') }}
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{%- endif %}
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{%- if tools
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{{- '
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>" }}
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{{- '\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>' }}
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{%- if messages[0].role == 'system' %}
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{%- if content %}
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{{- '\n\n' + content }}
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{%- endif %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" %}
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{%- set content = render_content(message.content, false)|trim %}
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if ns.multi_step_tool %}
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{{- raise_exception('No user query found in messages.') }}
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{%- endif %}
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{%- for message in messages %}
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-
{%-
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{%- if message.role == "system" %}
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{%- if not loop.first %}
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{{- raise_exception('System message must be
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-
{%- endif %}
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{%- elif message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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-
{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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-
{%- endif %}
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{%- set reasoning_content = reasoning_content|trim %}
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{%- if loop.index0 > ns.last_query_index %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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-
{%- endif %}
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-
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
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-
{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- if loop.first %}
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{%- if content|trim %}
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{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- else %}
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{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- endif %}
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{%- else %}
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{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- endif %}
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{%- if tool_call.arguments is defined %}
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{%- for args_name, args_value in tool_call.arguments|items %}
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{{- '<parameter=' + args_name + '>\n' }}
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{%- 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 %}
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{{- args_value }}
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{{- '\n</parameter>\n' }}
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{%- endfor %}
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-
{%- endif %}
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{{- '</function>\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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-
{%- elif message.role == "tool" %}
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-
{%- if loop.previtem and loop.previtem.role != "tool" %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if not loop.last and loop.nextitem.role != "tool" %}
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{{- '<|im_end|>\n' }}
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{%- elif loop.last %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- else %}
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{{- raise_exception('
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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-
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{{- '<think>\n\n</think>\n\n' }}
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{%- else %}
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{{- '<think>\n' }}
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{%- endif %}
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{%- endif %}
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{%- macro render_content(content, is_system_content=false) %}
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{%- if content is string %}
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{{- content }}
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{%- elif content is iterable and content is not mapping %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain images.') }}
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{%- endif %}
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 11 |
{%- elif 'video' in item or item.type == 'video' %}
|
| 12 |
{%- if is_system_content %}
|
| 13 |
{{- raise_exception('System message cannot contain videos.') }}
|
| 14 |
{%- endif %}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 16 |
{%- elif 'text' in item %}
|
| 17 |
{{- item.text }}
|
|
|
|
| 28 |
{%- if not messages %}
|
| 29 |
{{- raise_exception('No messages provided.') }}
|
| 30 |
{%- endif %}
|
| 31 |
+
{%- if tools %}
|
| 32 |
+
{{- raise_exception('This chat template does not support tools.') }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
{%- endif %}
|
| 34 |
{%- for message in messages %}
|
| 35 |
+
{%- if message.role == 'system' %}
|
|
|
|
| 36 |
{%- if not loop.first %}
|
| 37 |
+
{{- raise_exception('System message must be first.') }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
{%- endif %}
|
| 39 |
+
{{- '<|im_start|>system\n' + render_content(message.content, true) + '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == 'user' or message.role == 'assistant' %}
|
| 41 |
+
{{- '<|im_start|>' + message.role + '\n' + render_content(message.content) + '<|im_end|>\n' }}
|
| 42 |
{%- else %}
|
| 43 |
+
{{- raise_exception('Only system/user/assistant roles are supported.') }}
|
| 44 |
{%- endif %}
|
| 45 |
{%- endfor %}
|
| 46 |
{%- if add_generation_prompt %}
|
| 47 |
{{- '<|im_start|>assistant\n' }}
|
| 48 |
+
{%- endif %}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
config.json
CHANGED
|
@@ -1,27 +1,50 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
"Qwen3_5ForConditionalGeneration"
|
| 4 |
],
|
| 5 |
-
"
|
| 6 |
-
"dtype": "
|
| 7 |
-
"
|
| 8 |
-
|
|
|
|
|
|
|
| 9 |
"image_token_id": 248056,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
"model_type": "qwen3_5",
|
| 11 |
-
"
|
|
|
|
|
|
|
|
|
|
| 12 |
"text_config": {
|
|
|
|
|
|
|
| 13 |
"attention_bias": false,
|
| 14 |
"attention_dropout": 0.0,
|
| 15 |
"attn_output_gate": true,
|
| 16 |
"bos_token_id": null,
|
| 17 |
-
"
|
|
|
|
| 18 |
"eos_token_id": 248044,
|
| 19 |
"full_attention_interval": 4,
|
| 20 |
"head_dim": 256,
|
| 21 |
"hidden_act": "silu",
|
| 22 |
"hidden_size": 5120,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
"initializer_range": 0.02,
|
| 24 |
"intermediate_size": 17408,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
"layer_types": [
|
| 26 |
"linear_attention",
|
| 27 |
"linear_attention",
|
|
@@ -97,13 +120,17 @@
|
|
| 97 |
"max_position_embeddings": 262144,
|
| 98 |
"mlp_only_layers": [],
|
| 99 |
"model_type": "qwen3_5_text",
|
| 100 |
-
"mtp_num_hidden_layers":
|
| 101 |
"mtp_use_dedicated_embeddings": false,
|
| 102 |
"num_attention_heads": 24,
|
| 103 |
"num_hidden_layers": 64,
|
| 104 |
"num_key_value_heads": 4,
|
|
|
|
|
|
|
| 105 |
"pad_token_id": null,
|
| 106 |
"partial_rotary_factor": 0.25,
|
|
|
|
|
|
|
| 107 |
"rms_norm_eps": 1e-06,
|
| 108 |
"rope_parameters": {
|
| 109 |
"mrope_interleaved": true,
|
|
@@ -117,30 +144,47 @@
|
|
| 117 |
"rope_type": "default"
|
| 118 |
},
|
| 119 |
"tie_word_embeddings": false,
|
| 120 |
-
"use_cache":
|
| 121 |
"vocab_size": 248320
|
| 122 |
},
|
| 123 |
"tie_word_embeddings": false,
|
| 124 |
-
"transformers_version": "5.
|
| 125 |
-
"use_cache":
|
| 126 |
"video_token_id": 248057,
|
| 127 |
"vision_config": {
|
|
|
|
|
|
|
|
|
|
| 128 |
"deepstack_visual_indexes": [],
|
| 129 |
"depth": 27,
|
| 130 |
-
"dtype": "
|
| 131 |
"hidden_act": "gelu_pytorch_tanh",
|
| 132 |
"hidden_size": 1152,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 133 |
"in_channels": 3,
|
| 134 |
"initializer_range": 0.02,
|
| 135 |
"intermediate_size": 4304,
|
| 136 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 137 |
"num_heads": 16,
|
| 138 |
"num_position_embeddings": 2304,
|
| 139 |
"out_hidden_size": 5120,
|
|
|
|
|
|
|
| 140 |
"patch_size": 16,
|
|
|
|
|
|
|
| 141 |
"spatial_merge_size": 2,
|
| 142 |
"temporal_patch_size": 2
|
| 143 |
},
|
| 144 |
"vision_end_token_id": 248054,
|
| 145 |
-
"vision_start_token_id": 248053
|
|
|
|
| 146 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen3.5-27B",
|
| 3 |
"architectures": [
|
| 4 |
"Qwen3_5ForConditionalGeneration"
|
| 5 |
],
|
| 6 |
+
"chunk_size_feed_forward": 0,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"id2label": {
|
| 9 |
+
"0": "LABEL_0",
|
| 10 |
+
"1": "LABEL_1"
|
| 11 |
+
},
|
| 12 |
"image_token_id": 248056,
|
| 13 |
+
"is_encoder_decoder": false,
|
| 14 |
+
"label2id": {
|
| 15 |
+
"LABEL_0": 0,
|
| 16 |
+
"LABEL_1": 1
|
| 17 |
+
},
|
| 18 |
"model_type": "qwen3_5",
|
| 19 |
+
"output_attentions": false,
|
| 20 |
+
"output_hidden_states": false,
|
| 21 |
+
"problem_type": null,
|
| 22 |
+
"return_dict": true,
|
| 23 |
"text_config": {
|
| 24 |
+
"_name_or_path": "",
|
| 25 |
+
"architectures": null,
|
| 26 |
"attention_bias": false,
|
| 27 |
"attention_dropout": 0.0,
|
| 28 |
"attn_output_gate": true,
|
| 29 |
"bos_token_id": null,
|
| 30 |
+
"chunk_size_feed_forward": 0,
|
| 31 |
+
"dtype": "float32",
|
| 32 |
"eos_token_id": 248044,
|
| 33 |
"full_attention_interval": 4,
|
| 34 |
"head_dim": 256,
|
| 35 |
"hidden_act": "silu",
|
| 36 |
"hidden_size": 5120,
|
| 37 |
+
"id2label": {
|
| 38 |
+
"0": "LABEL_0",
|
| 39 |
+
"1": "LABEL_1"
|
| 40 |
+
},
|
| 41 |
"initializer_range": 0.02,
|
| 42 |
"intermediate_size": 17408,
|
| 43 |
+
"is_encoder_decoder": false,
|
| 44 |
+
"label2id": {
|
| 45 |
+
"LABEL_0": 0,
|
| 46 |
+
"LABEL_1": 1
|
| 47 |
+
},
|
| 48 |
"layer_types": [
|
| 49 |
"linear_attention",
|
| 50 |
"linear_attention",
|
|
|
|
| 120 |
"max_position_embeddings": 262144,
|
| 121 |
"mlp_only_layers": [],
|
| 122 |
"model_type": "qwen3_5_text",
|
| 123 |
+
"mtp_num_hidden_layers": 0,
|
| 124 |
"mtp_use_dedicated_embeddings": false,
|
| 125 |
"num_attention_heads": 24,
|
| 126 |
"num_hidden_layers": 64,
|
| 127 |
"num_key_value_heads": 4,
|
| 128 |
+
"output_attentions": false,
|
| 129 |
+
"output_hidden_states": true,
|
| 130 |
"pad_token_id": null,
|
| 131 |
"partial_rotary_factor": 0.25,
|
| 132 |
+
"problem_type": null,
|
| 133 |
+
"return_dict": true,
|
| 134 |
"rms_norm_eps": 1e-06,
|
| 135 |
"rope_parameters": {
|
| 136 |
"mrope_interleaved": true,
|
|
|
|
| 144 |
"rope_type": "default"
|
| 145 |
},
|
| 146 |
"tie_word_embeddings": false,
|
| 147 |
+
"use_cache": true,
|
| 148 |
"vocab_size": 248320
|
| 149 |
},
|
| 150 |
"tie_word_embeddings": false,
|
| 151 |
+
"transformers_version": "5.8.1",
|
| 152 |
+
"use_cache": true,
|
| 153 |
"video_token_id": 248057,
|
| 154 |
"vision_config": {
|
| 155 |
+
"_name_or_path": "",
|
| 156 |
+
"architectures": null,
|
| 157 |
+
"chunk_size_feed_forward": 0,
|
| 158 |
"deepstack_visual_indexes": [],
|
| 159 |
"depth": 27,
|
| 160 |
+
"dtype": "float32",
|
| 161 |
"hidden_act": "gelu_pytorch_tanh",
|
| 162 |
"hidden_size": 1152,
|
| 163 |
+
"id2label": {
|
| 164 |
+
"0": "LABEL_0",
|
| 165 |
+
"1": "LABEL_1"
|
| 166 |
+
},
|
| 167 |
"in_channels": 3,
|
| 168 |
"initializer_range": 0.02,
|
| 169 |
"intermediate_size": 4304,
|
| 170 |
+
"is_encoder_decoder": false,
|
| 171 |
+
"label2id": {
|
| 172 |
+
"LABEL_0": 0,
|
| 173 |
+
"LABEL_1": 1
|
| 174 |
+
},
|
| 175 |
+
"model_type": "qwen3_5_vision",
|
| 176 |
"num_heads": 16,
|
| 177 |
"num_position_embeddings": 2304,
|
| 178 |
"out_hidden_size": 5120,
|
| 179 |
+
"output_attentions": false,
|
| 180 |
+
"output_hidden_states": false,
|
| 181 |
"patch_size": 16,
|
| 182 |
+
"problem_type": null,
|
| 183 |
+
"return_dict": true,
|
| 184 |
"spatial_merge_size": 2,
|
| 185 |
"temporal_patch_size": 2
|
| 186 |
},
|
| 187 |
"vision_end_token_id": 248054,
|
| 188 |
+
"vision_start_token_id": 248053,
|
| 189 |
+
"torch_dtype": "float32"
|
| 190 |
}
|
generation_config.json
CHANGED
|
@@ -1,13 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"eos_token_id":
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
"pad_token_id": 248044,
|
| 9 |
-
"temperature": 0.6,
|
| 10 |
-
"top_k": 20,
|
| 11 |
-
"top_p": 0.95,
|
| 12 |
-
"transformers_version": "5.3.0"
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"transformers_version": "5.8.1",
|
| 7 |
+
"use_cache": true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
}
|
merges.txt
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors → model-00001-of-00011.safetensors
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model.safetensors.index.json
CHANGED
|
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preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
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|
| 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 |
-
}
|
|
|
|
|
|
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|
processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
| 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": 589824,
|
| 24 |
+
"shortest_edge": 1024
|
| 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": 8,
|
| 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": 40,
|
| 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 |
+
}
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
CHANGED
|
@@ -1,305 +1,35 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
"248048": {
|
| 37 |
-
"content": "<|object_ref_end|>",
|
| 38 |
-
"lstrip": false,
|
| 39 |
-
"normalized": false,
|
| 40 |
-
"rstrip": false,
|
| 41 |
-
"single_word": false,
|
| 42 |
-
"special": true
|
| 43 |
-
},
|
| 44 |
-
"248049": {
|
| 45 |
-
"content": "<|box_start|>",
|
| 46 |
-
"lstrip": false,
|
| 47 |
-
"normalized": false,
|
| 48 |
-
"rstrip": false,
|
| 49 |
-
"single_word": false,
|
| 50 |
-
"special": true
|
| 51 |
-
},
|
| 52 |
-
"248050": {
|
| 53 |
-
"content": "<|box_end|>",
|
| 54 |
-
"lstrip": false,
|
| 55 |
-
"normalized": false,
|
| 56 |
-
"rstrip": false,
|
| 57 |
-
"single_word": false,
|
| 58 |
-
"special": true
|
| 59 |
-
},
|
| 60 |
-
"248051": {
|
| 61 |
-
"content": "<|quad_start|>",
|
| 62 |
-
"lstrip": false,
|
| 63 |
-
"normalized": false,
|
| 64 |
-
"rstrip": false,
|
| 65 |
-
"single_word": false,
|
| 66 |
-
"special": true
|
| 67 |
-
},
|
| 68 |
-
"248052": {
|
| 69 |
-
"content": "<|quad_end|>",
|
| 70 |
-
"lstrip": false,
|
| 71 |
-
"normalized": false,
|
| 72 |
-
"rstrip": false,
|
| 73 |
-
"single_word": false,
|
| 74 |
-
"special": true
|
| 75 |
-
},
|
| 76 |
-
"248053": {
|
| 77 |
-
"content": "<|vision_start|>",
|
| 78 |
-
"lstrip": false,
|
| 79 |
-
"normalized": false,
|
| 80 |
-
"rstrip": false,
|
| 81 |
-
"single_word": false,
|
| 82 |
-
"special": true
|
| 83 |
-
},
|
| 84 |
-
"248054": {
|
| 85 |
-
"content": "<|vision_end|>",
|
| 86 |
-
"lstrip": false,
|
| 87 |
-
"normalized": false,
|
| 88 |
-
"rstrip": false,
|
| 89 |
-
"single_word": false,
|
| 90 |
-
"special": true
|
| 91 |
-
},
|
| 92 |
-
"248055": {
|
| 93 |
-
"content": "<|vision_pad|>",
|
| 94 |
-
"lstrip": false,
|
| 95 |
-
"normalized": false,
|
| 96 |
-
"rstrip": false,
|
| 97 |
-
"single_word": false,
|
| 98 |
-
"special": true
|
| 99 |
-
},
|
| 100 |
-
"248056": {
|
| 101 |
-
"content": "<|image_pad|>",
|
| 102 |
-
"lstrip": false,
|
| 103 |
-
"normalized": false,
|
| 104 |
-
"rstrip": false,
|
| 105 |
-
"single_word": false,
|
| 106 |
-
"special": true
|
| 107 |
-
},
|
| 108 |
-
"248057": {
|
| 109 |
-
"content": "<|video_pad|>",
|
| 110 |
-
"lstrip": false,
|
| 111 |
-
"normalized": false,
|
| 112 |
-
"rstrip": false,
|
| 113 |
-
"single_word": false,
|
| 114 |
-
"special": true
|
| 115 |
-
},
|
| 116 |
-
"248058": {
|
| 117 |
-
"content": "<tool_call>",
|
| 118 |
-
"lstrip": false,
|
| 119 |
-
"normalized": false,
|
| 120 |
-
"rstrip": false,
|
| 121 |
-
"single_word": false,
|
| 122 |
-
"special": false
|
| 123 |
-
},
|
| 124 |
-
"248059": {
|
| 125 |
-
"content": "</tool_call>",
|
| 126 |
-
"lstrip": false,
|
| 127 |
-
"normalized": false,
|
| 128 |
-
"rstrip": false,
|
| 129 |
-
"single_word": false,
|
| 130 |
-
"special": false
|
| 131 |
-
},
|
| 132 |
-
"248060": {
|
| 133 |
-
"content": "<|fim_prefix|>",
|
| 134 |
-
"lstrip": false,
|
| 135 |
-
"normalized": false,
|
| 136 |
-
"rstrip": false,
|
| 137 |
-
"single_word": false,
|
| 138 |
-
"special": false
|
| 139 |
-
},
|
| 140 |
-
"248061": {
|
| 141 |
-
"content": "<|fim_middle|>",
|
| 142 |
-
"lstrip": false,
|
| 143 |
-
"normalized": false,
|
| 144 |
-
"rstrip": false,
|
| 145 |
-
"single_word": false,
|
| 146 |
-
"special": false
|
| 147 |
-
},
|
| 148 |
-
"248062": {
|
| 149 |
-
"content": "<|fim_suffix|>",
|
| 150 |
-
"lstrip": false,
|
| 151 |
-
"normalized": false,
|
| 152 |
-
"rstrip": false,
|
| 153 |
-
"single_word": false,
|
| 154 |
-
"special": false
|
| 155 |
-
},
|
| 156 |
-
"248063": {
|
| 157 |
-
"content": "<|fim_pad|>",
|
| 158 |
-
"lstrip": false,
|
| 159 |
-
"normalized": false,
|
| 160 |
-
"rstrip": false,
|
| 161 |
-
"single_word": false,
|
| 162 |
-
"special": false
|
| 163 |
-
},
|
| 164 |
-
"248064": {
|
| 165 |
-
"content": "<|repo_name|>",
|
| 166 |
-
"lstrip": false,
|
| 167 |
-
"normalized": false,
|
| 168 |
-
"rstrip": false,
|
| 169 |
-
"single_word": false,
|
| 170 |
-
"special": false
|
| 171 |
-
},
|
| 172 |
-
"248065": {
|
| 173 |
-
"content": "<|file_sep|>",
|
| 174 |
-
"lstrip": false,
|
| 175 |
-
"normalized": false,
|
| 176 |
-
"rstrip": false,
|
| 177 |
-
"single_word": false,
|
| 178 |
-
"special": false
|
| 179 |
-
},
|
| 180 |
-
"248066": {
|
| 181 |
-
"content": "<tool_response>",
|
| 182 |
-
"lstrip": false,
|
| 183 |
-
"normalized": false,
|
| 184 |
-
"rstrip": false,
|
| 185 |
-
"single_word": false,
|
| 186 |
-
"special": false
|
| 187 |
-
},
|
| 188 |
-
"248067": {
|
| 189 |
-
"content": "</tool_response>",
|
| 190 |
-
"lstrip": false,
|
| 191 |
-
"normalized": false,
|
| 192 |
-
"rstrip": false,
|
| 193 |
-
"single_word": false,
|
| 194 |
-
"special": false
|
| 195 |
-
},
|
| 196 |
-
"248068": {
|
| 197 |
-
"content": "<think>",
|
| 198 |
-
"lstrip": false,
|
| 199 |
-
"normalized": false,
|
| 200 |
-
"rstrip": false,
|
| 201 |
-
"single_word": false,
|
| 202 |
-
"special": false
|
| 203 |
-
},
|
| 204 |
-
"248069": {
|
| 205 |
-
"content": "</think>",
|
| 206 |
-
"lstrip": false,
|
| 207 |
-
"normalized": false,
|
| 208 |
-
"rstrip": false,
|
| 209 |
-
"single_word": false,
|
| 210 |
-
"special": false
|
| 211 |
-
},
|
| 212 |
-
"248070": {
|
| 213 |
-
"content": "<|audio_start|>",
|
| 214 |
-
"lstrip": false,
|
| 215 |
-
"normalized": false,
|
| 216 |
-
"rstrip": false,
|
| 217 |
-
"single_word": false,
|
| 218 |
-
"special": true
|
| 219 |
-
},
|
| 220 |
-
"248071": {
|
| 221 |
-
"content": "<|audio_end|>",
|
| 222 |
-
"lstrip": false,
|
| 223 |
-
"normalized": false,
|
| 224 |
-
"rstrip": false,
|
| 225 |
-
"single_word": false,
|
| 226 |
-
"special": true
|
| 227 |
-
},
|
| 228 |
-
"248072": {
|
| 229 |
-
"content": "<tts_pad>",
|
| 230 |
-
"lstrip": false,
|
| 231 |
-
"normalized": false,
|
| 232 |
-
"rstrip": false,
|
| 233 |
-
"single_word": false,
|
| 234 |
-
"special": true
|
| 235 |
-
},
|
| 236 |
-
"248073": {
|
| 237 |
-
"content": "<tts_text_bos>",
|
| 238 |
-
"lstrip": false,
|
| 239 |
-
"normalized": false,
|
| 240 |
-
"rstrip": false,
|
| 241 |
-
"single_word": false,
|
| 242 |
-
"special": true
|
| 243 |
-
},
|
| 244 |
-
"248074": {
|
| 245 |
-
"content": "<tts_text_eod>",
|
| 246 |
-
"lstrip": false,
|
| 247 |
-
"normalized": false,
|
| 248 |
-
"rstrip": false,
|
| 249 |
-
"single_word": false,
|
| 250 |
-
"special": true
|
| 251 |
-
},
|
| 252 |
-
"248075": {
|
| 253 |
-
"content": "<tts_text_bos_single>",
|
| 254 |
-
"lstrip": false,
|
| 255 |
-
"normalized": false,
|
| 256 |
-
"rstrip": false,
|
| 257 |
-
"single_word": false,
|
| 258 |
-
"special": true
|
| 259 |
-
},
|
| 260 |
-
"248076": {
|
| 261 |
-
"content": "<|audio_pad|>",
|
| 262 |
-
"lstrip": false,
|
| 263 |
-
"normalized": false,
|
| 264 |
-
"rstrip": false,
|
| 265 |
-
"single_word": false,
|
| 266 |
-
"special": true
|
| 267 |
-
}
|
| 268 |
-
},
|
| 269 |
-
"additional_special_tokens": [
|
| 270 |
-
"<|im_start|>",
|
| 271 |
-
"<|im_end|>",
|
| 272 |
-
"<|object_ref_start|>",
|
| 273 |
-
"<|object_ref_end|>",
|
| 274 |
-
"<|box_start|>",
|
| 275 |
-
"<|box_end|>",
|
| 276 |
-
"<|quad_start|>",
|
| 277 |
-
"<|quad_end|>",
|
| 278 |
-
"<|vision_start|>",
|
| 279 |
-
"<|vision_end|>",
|
| 280 |
-
"<|vision_pad|>",
|
| 281 |
-
"<|image_pad|>",
|
| 282 |
-
"<|video_pad|>"
|
| 283 |
-
],
|
| 284 |
-
"bos_token": null,
|
| 285 |
-
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\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>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- 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 %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 286 |
-
"clean_up_tokenization_spaces": false,
|
| 287 |
-
"eos_token": "<|im_end|>",
|
| 288 |
-
"errors": "replace",
|
| 289 |
-
"model_max_length": 262144,
|
| 290 |
-
"pad_token": "<|endoftext|>",
|
| 291 |
-
"split_special_tokens": false,
|
| 292 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 293 |
-
"unk_token": null,
|
| 294 |
-
"add_bos_token": false,
|
| 295 |
-
"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+",
|
| 296 |
-
"extra_special_tokens": {
|
| 297 |
-
"audio_bos_token": "<|audio_start|>",
|
| 298 |
-
"audio_eos_token": "<|audio_end|>",
|
| 299 |
-
"audio_token": "<|audio_pad|>",
|
| 300 |
-
"image_token": "<|image_pad|>",
|
| 301 |
-
"video_token": "<|video_pad|>",
|
| 302 |
-
"vision_bos_token": "<|vision_start|>",
|
| 303 |
-
"vision_eos_token": "<|vision_end|>"
|
| 304 |
-
}
|
| 305 |
-
}
|
|
|
|
| 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": true,
|
| 14 |
+
"max_pixels": 589824,
|
| 15 |
+
"min_pixels": 1024,
|
| 16 |
+
"model_max_length": 262144,
|
| 17 |
+
"model_specific_special_tokens": {
|
| 18 |
+
"audio_bos_token": "<|audio_start|>",
|
| 19 |
+
"audio_eos_token": "<|audio_end|>",
|
| 20 |
+
"audio_token": "<|audio_pad|>",
|
| 21 |
+
"image_token": "<|image_pad|>",
|
| 22 |
+
"video_token": "<|video_pad|>",
|
| 23 |
+
"vision_bos_token": "<|vision_start|>",
|
| 24 |
+
"vision_eos_token": "<|vision_end|>"
|
| 25 |
+
},
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"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+",
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"split_special_tokens": false,
|
| 30 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 31 |
+
"unk_token": null,
|
| 32 |
+
"video_token": "<|video_pad|>",
|
| 33 |
+
"vision_bos_token": "<|vision_start|>",
|
| 34 |
+
"vision_eos_token": "<|vision_end|>"
|
| 35 |
+
}
|
|
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|
video_preprocessor_config.json
DELETED
|
@@ -1,21 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"size": {
|
| 3 |
-
"longest_edge": 25165824,
|
| 4 |
-
"shortest_edge": 4096
|
| 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 |
-
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
-
}
|
|
|
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vocab.json
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|