commit 06b96cbd60dc8e0dbca0f6d75778bd36bea1564b Author: ModelHub XC Date: Mon Sep 14 10:50:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: ermiaazarkhalili/VibeThinker-3B-SFT-Fable5-Glint Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..9de591f --- /dev/null +++ b/README.md @@ -0,0 +1,97 @@ +--- +license: mit +base_model: + - WeiboAI/VibeThinker-3B +library_name: transformers +pipeline_tag: text-generation +tags: + - unsloth + - lora + - trl + - sft +--- + +# VibeThinker-3B-SFT-Fable5-Glint + +A LoRA fine-tune of [`WeiboAI/VibeThinker-3B`](https://huggingface.co/WeiboAI/VibeThinker-3B), supervised fine-tuned on `ermiaazarkhalili/Fable-5-Glint-Clean` (private). + +| | | +| --- | --- | +| **Base model** | [`WeiboAI/VibeThinker-3B`](https://huggingface.co/WeiboAI/VibeThinker-3B) | +| **Architecture** | `Qwen2ForCausalLM` | +| **Parameters** | 3.1B | +| **Training data** | `ermiaazarkhalili/Fable-5-Glint-Clean` (private) | +| **Method** | LoRA supervised fine-tuning via [Unsloth](https://github.com/unslothai/unsloth) + [TRL](https://github.com/huggingface/trl) | +| **License** | `mit` (inherited from the base model) | + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_id = "ermiaazarkhalili/VibeThinker-3B-SFT-Fable5-Glint" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained(model_id, dtype='auto', device_map='auto') + +messages = [{"role": "user", "content": "Explain gradient checkpointing in two sentences."}] +inputs = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, return_tensors='pt' +).to(model.device) + +outputs = model.generate(inputs, max_new_tokens=256) +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +## Training configuration + +| Setting | Value | +| --- | --- | +| LoRA rank (r) | 16 | +| LoRA alpha | 16 | +| Learning rate | 0.0002 | +| Epochs | 3 | +| Effective batch size | 8 (2 x 4 grad accum) | +| Max sequence length | 4096 | +| Base precision | 4-bit (QLoRA) | +| Target modules | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` | + +## Held-out evaluation + +Next-token accuracy on a deterministic held-out split of `ermiaazarkhalili/Fable-5-Glint-Clean` (n = 199 samples), scored against the base model [`WeiboAI/VibeThinker-3B`](https://huggingface.co/WeiboAI/VibeThinker-3B). Assistant tokens only; both models are scored identically. + +| Metric | Base | This model | Δ | +| --- | ---: | ---: | ---: | +| Top-1 accuracy | 0.5309 | 0.6719 | +0.1411 | +| Top-5 accuracy | 0.7563 | 0.8947 | +0.1384 | + +A delta measures how far fine-tuning moved this model from its own starting point; it is not a ranking against other models, which start from different baselines. + +## Observed training loss + +Measured from our SLURM logs for this configuration. These are training-loss +observations only — see the held-out evaluation above for measured accuracy. + +| SLURM job | Steps | First loss | Final loss | +| --- | --- | --- | --- | +| `45987994` | 1,554 | 1.7458 | 1.0123 | +| `46021015` | 1,554 | 1.7457 | 1.0127 | + +## Limitations + +- No benchmark evaluation has been run on this checkpoint. The only reported + numbers are training-loss observations. +- Inherits the biases, knowledge cutoff and failure modes of the base model. +- Fine-tuned on a single instruction-following dataset; behaviour outside that + distribution is untested. +- LoRA adapters were merged into the base weights, so the merged model cannot + be detached from this fine-tune. + +## Reproducing + +Trained by `notebooks/fable_distillation_vibethinker-3b_fable-glint_unsloth.ipynb`, executed non-interactively with +papermill on a SLURM H100 partition (Unsloth + TRL, LoRA). + +--- + +*Card generated from the training run's own configuration and logs by* +*`scripts/generate_hub_model_card.py`.* diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..28028c0 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..5b0a7b4 --- /dev/null +++ b/config.json @@ -0,0 +1,69 @@ +{ + "architectures": [ + 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messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n" +} \ No newline at end of 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