Instructions to use meihant/AnonymousModel-mht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meihant/AnonymousModel-mht with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="meihant/AnonymousModel-mht")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meihant/AnonymousModel-mht", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use meihant/AnonymousModel-mht with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "meihant/AnonymousModel-mht" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "meihant/AnonymousModel-mht", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/meihant/AnonymousModel-mht
- SGLang
How to use meihant/AnonymousModel-mht 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 "meihant/AnonymousModel-mht" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "meihant/AnonymousModel-mht", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "meihant/AnonymousModel-mht" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "meihant/AnonymousModel-mht", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use meihant/AnonymousModel-mht with Docker Model Runner:
docker model run hf.co/meihant/AnonymousModel-mht
Add files using upload-large-folder tool
Browse files- Keen-qwen4b-20b/README.md +16 -0
- Keen-qwen4b-20b/checkpoint-11202/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-11202/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-11202/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-11202/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-13449/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-13449/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-13449/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-13449/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-15698/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-15698/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-15698/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-15698/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-17953/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-17953/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-17953/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-17953/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-20218/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-20218/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-20218/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-20218/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-22478/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-22478/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-22478/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-22478/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-2253/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-2253/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-2253/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-2253/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-4453/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-4453/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-4453/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-4453/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-6701/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-6701/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-6701/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-6701/tokenizer_config.json +47 -0
- Keen-qwen4b-20b/checkpoint-8956/README.md +40 -0
- Keen-qwen4b-20b/checkpoint-8956/config.json +83 -0
- Keen-qwen4b-20b/checkpoint-8956/generation_config.json +9 -0
- Keen-qwen4b-20b/checkpoint-8956/tokenizer_config.json +47 -0
- README.md +32 -0
- Vanilla-qwen4b-20b/README.md +16 -0
- Vanilla-qwen4b-20b/checkpoint-1910/README.md +40 -0
- Vanilla-qwen4b-20b/checkpoint-9543/README.md +40 -0
- Vanilla-qwen4b-20b/checkpoint-9543/config.json +83 -0
- Vanilla-qwen4b-20b/checkpoint-9543/generation_config.json +9 -0
- Vanilla-qwen4b-20b/checkpoint-9543/tokenizer_config.json +47 -0
- checkpoints.json +202 -0
- manifest.json +626 -0
Keen-qwen4b-20b/README.md
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# Keen-qwen4b-20b
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Ten budget-boundary checkpoints, approximately every 2B body tokens from 2B through 20B. The additional final checkpoint at approximately 20.156B tokens is intentionally excluded.
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| Checkpoint | Step | Body tokens | Status |
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| 6 |
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|---|---:|---:|---|
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| 7 |
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| [checkpoint-2253](checkpoint-2253) | 2,253 | 2,000,696,711 | Intermediate |
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| 8 |
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| [checkpoint-4453](checkpoint-4453) | 4,453 | 4,000,757,038 | Intermediate |
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| 9 |
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| [checkpoint-6701](checkpoint-6701) | 6,701 | 6,000,082,648 | Intermediate |
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| 10 |
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| [checkpoint-8956](checkpoint-8956) | 8,956 | 8,000,600,622 | Intermediate |
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| 11 |
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| [checkpoint-11202](checkpoint-11202) | 11,202 | 10,000,294,657 | Intermediate |
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| 12 |
+
| [checkpoint-13449](checkpoint-13449) | 13,449 | 12,000,429,703 | Intermediate |
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| 13 |
+
| [checkpoint-15698](checkpoint-15698) | 15,698 | 14,000,083,680 | Intermediate |
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| 14 |
+
| [checkpoint-17953](checkpoint-17953) | 17,953 | 16,000,387,372 | Intermediate |
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| 15 |
+
| [checkpoint-20218](checkpoint-20218) | 20,218 | 18,000,030,679 | Intermediate |
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| 16 |
+
| [checkpoint-22478](checkpoint-22478) | 22,478 | 20,000,557,588 | Intermediate |
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Keen-qwen4b-20b/checkpoint-11202/README.md
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# Keen-qwen4b-20b: checkpoint-11202
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Text-only Qwen3.5-4B architecture, trained from random initialization.
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| 4 |
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This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
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Training used 4,096-token packs with document-isolated attention.
|
| 6 |
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The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
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|
| 9 |
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- Optimizer step: 11202
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| 10 |
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- Cumulative body tokens: 10,000,294,657
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- Parameters: 4,205,751,296
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| 12 |
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- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
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| 14 |
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|
| 15 |
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Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
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`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
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No remote custom model code is required. Use plain text prompts rather than a
|
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chat template. Inference caching is enabled in the released configuration;
|
| 21 |
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weights and tokenizer vocabulary are unchanged.
|
| 22 |
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|
| 23 |
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```python
|
| 24 |
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import torch
|
| 25 |
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from transformers import AutoModelForCausalLM, AutoTokenizer
|
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|
| 27 |
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repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-11202"
|
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tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
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device_map="auto", attn_implementation="eager",
|
| 33 |
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).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
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with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
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Keen-qwen4b-20b/checkpoint-11202/config.json
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{
|
| 2 |
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"architectures": [
|
| 3 |
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"Qwen3_5ForCausalLM"
|
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+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-11202/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-11202/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
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{
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-13449/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-13449
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 13449
|
| 10 |
+
- Cumulative body tokens: 12,000,429,703
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-13449"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-13449/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-13449/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-13449/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-15698/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-15698
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 15698
|
| 10 |
+
- Cumulative body tokens: 14,000,083,680
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-15698"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-15698/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-15698/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-15698/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-17953/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-17953
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 17953
|
| 10 |
+
- Cumulative body tokens: 16,000,387,372
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-17953"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-17953/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-17953/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-17953/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-20218/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-20218
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 20218
|
| 10 |
+
- Cumulative body tokens: 18,000,030,679
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-20218"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-20218/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-20218/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-20218/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-22478/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-22478
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 22478
|
| 10 |
+
- Cumulative body tokens: 20,000,557,588
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-22478"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-22478/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-22478/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-22478/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-2253/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-2253
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 2253
|
| 10 |
+
- Cumulative body tokens: 2,000,696,711
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-2253"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-2253/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-2253/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-2253/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-4453/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-4453
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 4453
|
| 10 |
+
- Cumulative body tokens: 4,000,757,038
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-4453"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-4453/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-4453/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-4453/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-6701/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-6701
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 6701
|
| 10 |
+
- Cumulative body tokens: 6,000,082,648
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-6701"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-6701/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-6701/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-6701/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
Keen-qwen4b-20b/checkpoint-8956/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Keen-qwen4b-20b: checkpoint-8956
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 8956
|
| 10 |
+
- Cumulative body tokens: 8,000,600,622
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Keen conditions passage reconstruction on `<fact>entity list</fact>`; the prefix participates in attention but is excluded from the training loss.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Keen-qwen4b-20b/checkpoint-8956"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("<fact>Paris, France</fact>\nParis", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Keen-qwen4b-20b/checkpoint-8956/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Keen-qwen4b-20b/checkpoint-8956/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Keen-qwen4b-20b/checkpoint-8956/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
README.md
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
pipeline_tag: text-generation
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
tags:
|
| 7 |
+
- qwen3_5
|
| 8 |
+
- pretraining
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# AnonymousModel-mht
|
| 12 |
+
|
| 13 |
+
Inference-only release of 20 budget-boundary checkpoints from two matched,
|
| 14 |
+
randomly initialized Qwen3.5-4B text-model pretraining runs on approximately
|
| 15 |
+
20B body tokens. Each family contains ten approximately 2B-spaced checkpoints
|
| 16 |
+
from 2B through 20B. The additional final checkpoints at approximately 20.156B
|
| 17 |
+
tokens are intentionally excluded from this release.
|
| 18 |
+
|
| 19 |
+
- [Keen-qwen4b-20b](Keen-qwen4b-20b/README.md): factual-list-conditioned pretraining.
|
| 20 |
+
- [Vanilla-qwen4b-20b](Vanilla-qwen4b-20b/README.md): ordinary text pretraining.
|
| 21 |
+
|
| 22 |
+
The training context was 4,096 tokens. These are base models, not QA-SFT or
|
| 23 |
+
instruction-tuned models. Each checkpoint directory is independently loadable
|
| 24 |
+
with standard Transformers 5.6.2 and contains BF16 safetensors weights,
|
| 25 |
+
model/generation configuration and a tokenizer. Select the checkpoint using
|
| 26 |
+
`subfolder`; this repository root is a collection and has no root model weights.
|
| 27 |
+
Optimizer states, scheduler states and training logs are not distributed.
|
| 28 |
+
|
| 29 |
+
Checkpoint loading examples and exact token counts appear in the family and
|
| 30 |
+
checkpoint READMEs. `checkpoints.json` indexes the release. `manifest.json`
|
| 31 |
+
records artifact hashes. Configuration enables inference caching; the released
|
| 32 |
+
weights and tokenizer vocabulary are unchanged from their training checkpoints.
|
Vanilla-qwen4b-20b/README.md
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Vanilla-qwen4b-20b
|
| 2 |
+
|
| 3 |
+
Ten budget-boundary checkpoints, approximately every 2B body tokens from 2B through 20B. The additional final checkpoint at approximately 20.156B tokens is intentionally excluded.
|
| 4 |
+
|
| 5 |
+
| Checkpoint | Step | Body tokens | Status |
|
| 6 |
+
|---|---:|---:|---|
|
| 7 |
+
| [checkpoint-1910](checkpoint-1910) | 1,910 | 2,000,045,638 | Intermediate |
|
| 8 |
+
| [checkpoint-3818](checkpoint-3818) | 3,818 | 4,000,211,289 | Intermediate |
|
| 9 |
+
| [checkpoint-5726](checkpoint-5726) | 5,726 | 6,000,159,072 | Intermediate |
|
| 10 |
+
| [checkpoint-7635](checkpoint-7635) | 7,635 | 8,000,913,248 | Intermediate |
|
| 11 |
+
| [checkpoint-9543](checkpoint-9543) | 9,543 | 10,000,619,298 | Intermediate |
|
| 12 |
+
| [checkpoint-11452](checkpoint-11452) | 11,452 | 12,000,591,962 | Intermediate |
|
| 13 |
+
| [checkpoint-13362](checkpoint-13362) | 13,362 | 14,000,166,403 | Intermediate |
|
| 14 |
+
| [checkpoint-15273](checkpoint-15273) | 15,273 | 16,000,320,768 | Intermediate |
|
| 15 |
+
| [checkpoint-17188](checkpoint-17188) | 17,188 | 18,000,257,314 | Intermediate |
|
| 16 |
+
| [checkpoint-19106](checkpoint-19106) | 19,106 | 20,000,220,345 | Intermediate |
|
Vanilla-qwen4b-20b/checkpoint-1910/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Vanilla-qwen4b-20b: checkpoint-1910
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 1910
|
| 10 |
+
- Cumulative body tokens: 2,000,045,638
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Vanilla uses ordinary passage continuation without a facts prefix.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Vanilla-qwen4b-20b/checkpoint-1910"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("Paris", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Vanilla-qwen4b-20b/checkpoint-9543/README.md
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Vanilla-qwen4b-20b: checkpoint-9543
|
| 2 |
+
|
| 3 |
+
Text-only Qwen3.5-4B architecture, trained from random initialization.
|
| 4 |
+
This is a base pretraining checkpoint, not an instruction-tuned chat model.
|
| 5 |
+
Training used 4,096-token packs with document-isolated attention.
|
| 6 |
+
The larger positional limit in the architecture configuration does not imply
|
| 7 |
+
validated long-context capability beyond the training context.
|
| 8 |
+
|
| 9 |
+
- Optimizer step: 9543
|
| 10 |
+
- Cumulative body tokens: 10,000,619,298
|
| 11 |
+
- Parameters: 4,205,751,296
|
| 12 |
+
- Precision: BF16
|
| 13 |
+
- Special document-end token: `<|endoftext|>`
|
| 14 |
+
|
| 15 |
+
Vanilla uses ordinary passage continuation without a facts prefix.
|
| 16 |
+
|
| 17 |
+
Use Transformers 5.6.2 (the training/evaluation version) with its native
|
| 18 |
+
`Qwen3_5ForCausalLM` implementation. Install PyTorch and Accelerate for GPU loading.
|
| 19 |
+
No remote custom model code is required. Use plain text prompts rather than a
|
| 20 |
+
chat template. Inference caching is enabled in the released configuration;
|
| 21 |
+
weights and tokenizer vocabulary are unchanged.
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import torch
|
| 25 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 26 |
+
|
| 27 |
+
repo = "meihant/AnonymousModel-mht"
|
| 28 |
+
subfolder = "Vanilla-qwen4b-20b/checkpoint-9543"
|
| 29 |
+
tokenizer = AutoTokenizer.from_pretrained(repo, subfolder=subfolder)
|
| 30 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 31 |
+
repo, subfolder=subfolder, dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto", attn_implementation="eager",
|
| 33 |
+
).eval()
|
| 34 |
+
inputs = tokenizer("Paris", return_tensors="pt").to(model.device)
|
| 35 |
+
with torch.inference_mode():
|
| 36 |
+
output = model.generate(**inputs, max_new_tokens=64, do_sample=False,
|
| 37 |
+
use_cache=True, pad_token_id=tokenizer.eos_token_id)
|
| 38 |
+
print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| 39 |
+
```
|
| 40 |
+
|
Vanilla-qwen4b-20b/checkpoint-9543/config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2560,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 9216,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5_text",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": 248044,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"rms_norm_eps": 1e-06,
|
| 68 |
+
"rope_parameters": {
|
| 69 |
+
"mrope_interleaved": true,
|
| 70 |
+
"mrope_section": [
|
| 71 |
+
11,
|
| 72 |
+
11,
|
| 73 |
+
10
|
| 74 |
+
],
|
| 75 |
+
"partial_rotary_factor": 0.25,
|
| 76 |
+
"rope_theta": 10000000,
|
| 77 |
+
"rope_type": "default"
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.6.2",
|
| 81 |
+
"use_cache": true,
|
| 82 |
+
"vocab_size": 248320
|
| 83 |
+
}
|
Vanilla-qwen4b-20b/checkpoint-9543/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"output_attentions": false,
|
| 5 |
+
"output_hidden_states": false,
|
| 6 |
+
"pad_token_id": 248044,
|
| 7 |
+
"transformers_version": "5.6.2",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
Vanilla-qwen4b-20b/checkpoint-9543/tokenizer_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"extra_special_tokens": [
|
| 12 |
+
"<|im_start|>",
|
| 13 |
+
"<|im_end|>",
|
| 14 |
+
"<|object_ref_start|>",
|
| 15 |
+
"<|object_ref_end|>",
|
| 16 |
+
"<|box_start|>",
|
| 17 |
+
"<|box_end|>",
|
| 18 |
+
"<|quad_start|>",
|
| 19 |
+
"<|quad_end|>",
|
| 20 |
+
"<|vision_start|>",
|
| 21 |
+
"<|vision_end|>",
|
| 22 |
+
"<|vision_pad|>",
|
| 23 |
+
"<|image_pad|>",
|
| 24 |
+
"<|video_pad|>",
|
| 25 |
+
"<fact>",
|
| 26 |
+
"</fact>"
|
| 27 |
+
],
|
| 28 |
+
"image_token": "<|image_pad|>",
|
| 29 |
+
"model_max_length": 32768,
|
| 30 |
+
"model_specific_special_tokens": {
|
| 31 |
+
"audio_bos_token": "<|audio_start|>",
|
| 32 |
+
"audio_eos_token": "<|audio_end|>",
|
| 33 |
+
"audio_token": "<|audio_pad|>",
|
| 34 |
+
"image_token": "<|image_pad|>",
|
| 35 |
+
"video_token": "<|video_pad|>",
|
| 36 |
+
"vision_bos_token": "<|vision_start|>",
|
| 37 |
+
"vision_eos_token": "<|vision_end|>"
|
| 38 |
+
},
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"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+",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null,
|
| 44 |
+
"video_token": "<|video_pad|>",
|
| 45 |
+
"vision_bos_token": "<|vision_start|>",
|
| 46 |
+
"vision_eos_token": "<|vision_end|>"
|
| 47 |
+
}
|
checkpoints.json
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-2253",
|
| 4 |
+
"step": 2253,
|
| 5 |
+
"body_tokens": 2000696711,
|
| 6 |
+
"final": false,
|
| 7 |
+
"layout": {
|
| 8 |
+
"tensors": 426,
|
| 9 |
+
"serialized_parameters": 4205751296
|
| 10 |
+
}
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-4453",
|
| 14 |
+
"step": 4453,
|
| 15 |
+
"body_tokens": 4000757038,
|
| 16 |
+
"final": false,
|
| 17 |
+
"layout": {
|
| 18 |
+
"tensors": 426,
|
| 19 |
+
"serialized_parameters": 4205751296
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-6701",
|
| 24 |
+
"step": 6701,
|
| 25 |
+
"body_tokens": 6000082648,
|
| 26 |
+
"final": false,
|
| 27 |
+
"layout": {
|
| 28 |
+
"tensors": 426,
|
| 29 |
+
"serialized_parameters": 4205751296
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-8956",
|
| 34 |
+
"step": 8956,
|
| 35 |
+
"body_tokens": 8000600622,
|
| 36 |
+
"final": false,
|
| 37 |
+
"layout": {
|
| 38 |
+
"tensors": 426,
|
| 39 |
+
"serialized_parameters": 4205751296
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-11202",
|
| 44 |
+
"step": 11202,
|
| 45 |
+
"body_tokens": 10000294657,
|
| 46 |
+
"final": false,
|
| 47 |
+
"layout": {
|
| 48 |
+
"tensors": 426,
|
| 49 |
+
"serialized_parameters": 4205751296
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-13449",
|
| 54 |
+
"step": 13449,
|
| 55 |
+
"body_tokens": 12000429703,
|
| 56 |
+
"final": false,
|
| 57 |
+
"layout": {
|
| 58 |
+
"tensors": 426,
|
| 59 |
+
"serialized_parameters": 4205751296
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-15698",
|
| 64 |
+
"step": 15698,
|
| 65 |
+
"body_tokens": 14000083680,
|
| 66 |
+
"final": false,
|
| 67 |
+
"layout": {
|
| 68 |
+
"tensors": 426,
|
| 69 |
+
"serialized_parameters": 4205751296
|
| 70 |
+
}
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-17953",
|
| 74 |
+
"step": 17953,
|
| 75 |
+
"body_tokens": 16000387372,
|
| 76 |
+
"final": false,
|
| 77 |
+
"layout": {
|
| 78 |
+
"tensors": 426,
|
| 79 |
+
"serialized_parameters": 4205751296
|
| 80 |
+
}
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"subfolder": "Keen-qwen4b-20b/checkpoint-20218",
|
| 84 |
+
"step": 20218,
|
| 85 |
+
"body_tokens": 18000030679,
|
| 86 |
+
"final": false,
|
| 87 |
+
"layout": {
|
| 88 |
+
"tensors": 426,
|
| 89 |
+
"serialized_parameters": 4205751296
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
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@@ -0,0 +1,626 @@
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| 1 |
+
{
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| 2 |
+
"repo": "meihant/AnonymousModel-mht",
|
| 3 |
+
"checkpoint_count": 20,
|
| 4 |
+
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+
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