From 119198d6e6883c43700706a1f3fe865913c3e769 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 12 May 2026 10:45:21 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: NhatCuong22/Qwen3-8B-OpusReasoning Source: Original Platform --- .gitattributes | 36 +++ README.md | 249 +++++++++++++++++++ chat_template.jinja | 98 ++++++++ config.json | 72 ++++++ model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 406 +++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 16 ++ 11 files changed, 892 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json 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..76492fa --- /dev/null +++ b/README.md @@ -0,0 +1,249 @@ +--- +language: +- en +license: apache-2.0 +base_model: unsloth/Qwen3-8B +tags: +- reasoning +- qwen3 +- lora +- unsloth +- distillation +- claude-opus +- chain-of-thought +datasets: +- Crownelius/Opus-4.6-Reasoning-3300x +- Jackrong/Qwen3.5-reasoning-700x +model-index: +- name: Qwen3-8B-OpusReasoning + results: [] +pipeline_tag: text-generation +--- + +# Qwen3-8B-OpusReasoning + +## Model Overview + +A reasoning-enhanced version of [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B), fine-tuned via supervised knowledge distillation from **Claude Opus 4.6** reasoning traces. + +The goal is not token-level imitation of Opus output, but transfer of its **reasoning structure and problem-solving style** into a compact 8B model that can run locally. The model outputs structured chain-of-thought inside `...` tags before generating the final answer, following the Qwen3 thinking-mode convention. + +- **Base model:** [unsloth/Qwen3-8B](https://huggingface.co/unsloth/Qwen3-8B) +- **Teacher model:** Claude Opus 4.6 (reasoning traces, distilled) +- **Training type:** Supervised Fine-Tuning (SFT) + LoRA → merged bf16 +- **Framework:** [Unsloth](https://github.com/unslothai/unsloth) 2026.4.5 + TRL SFTTrainer +- **Precision:** bfloat16 +- **Hardware:** 1x NVIDIA A100-SXM4-80GB + +## Training Data + +| Dataset | Samples | Role | +|---|---|---| +| [Crownelius/Opus-4.6-Reasoning-3300x](https://huggingface.co/datasets/Crownelius/Opus-4.6-Reasoning-3300x) | 3,300 | Main distillation — Claude Opus 4.6 reasoning traces | +| [Jackrong/Qwen3.5-reasoning-700x](https://huggingface.co/datasets/Jackrong/Qwen3.5-reasoning-700x) | 700 | Auxiliary — supporting reasoning diversity | +| **Total** | **4,000** | | + +### Data Characteristics + +- Long-form chain-of-thought supervision (`...`) +- Diverse reasoning domains: math, logic, code, analytical QA +- High-quality Opus 4.6 teacher traces — carefully curated, no noisy labels +- Conversation format compatible with Qwen3 chat template + +## Training Pipeline + +### LoRA Configuration + +| Parameter | Value | +|---|---| +| Rank (r) | 64 | +| Alpha | 128 | +| Dropout | 0.05 | +| Target modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj | + +### Hyperparameters + +| Parameter | Value | +|---|---| +| Effective batch size | 1 × 16 = 16 | +| Learning rate | 5e-5 | +| LR scheduler | Cosine | +| Epochs | 3 | +| Max sequence length | 16,384 | +| Optimizer | AdamW 8-bit | +| Warmup ratio | 0.03 | +| Weight decay | 0.01 | +| Packing | Enabled | +| Gradient checkpointing | Unsloth | + +### Training Results + +- **Final train loss:** 0.6953 +- **Runtime:** ~153 minutes on A100-80GB + +## Distillation Philosophy + +We distill **reasoning structure**, not surface tokens. Specifically, the model is encouraged to acquire: + +- **Explicit problem decomposition** — break complex questions into sub-goals +- **Assumption checking** — state what's given, what's unknown, and verify constraints +- **Step-by-step derivation** — one logical step per line, no skipped algebra +- **Reflection & backtracking** — recognize dead-ends and revise rather than plow forward +- **Clean answer construction** — separate `` scratch work from the final user-facing answer + +This follows the "Claude Opus style" of reasoning — deliberative, self-critical, and structurally transparent. + +## Reasoning Scaffold (Learned Pattern) + +After fine-tuning, the model tends to produce reasoning traces with this shape: + +1. **Restate and parse the task** — identify exactly what is being asked +2. **Plan** — list the approach or sub-problems +3. **Work through each step** — show algebra, logic, or code reasoning explicitly +4. **Verify** — sanity-check the intermediate results before committing +5. **Construct the final answer** — separate, clean, user-facing summary + +## Expected Improvements + +In practice, the gain is not a dramatic capability jump over the base Qwen3-8B, but rather: + +- **Improved stability** in multi-step reasoning +- **Structured, readable traces** instead of rambling CoT +- **Better instruction adherence** when a problem has constraints +- **Fewer hallucinated intermediate steps** thanks to Opus-style self-verification + +## Usage + +### Transformers + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_id = "NhatCuong22/Qwen3-8B-OpusReasoning" + +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype="bfloat16", + device_map="auto", +) + +messages = [ + {"role": "user", "content": "If a train travels 120km in 2 hours, stops for 30 minutes, then travels 90km in 1.5 hours, what is the average speed for the entire journey?"} +] + +text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) +text += "\n" # Activate thinking mode + +inputs = tokenizer(text, return_tensors="pt").to(model.device) +outputs = model.generate( + **inputs, + max_new_tokens=2048, + temperature=0.6, + top_p=0.95, + do_sample=True, +) + +response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=False) +print(response) +``` + +### Unsloth (faster inference) + +```python +from unsloth import FastLanguageModel + +model, tokenizer = FastLanguageModel.from_pretrained( + "NhatCuong22/Qwen3-8B-OpusReasoning", + max_seq_length=16384, + dtype="bfloat16", +) +FastLanguageModel.for_inference(model) +``` + +### Recommended Generation Parameters + +| Parameter | Reasoning tasks | Creative tasks | +|---|---|---| +| temperature | 0.6 | 0.8 | +| top_p | 0.95 | 0.95 | +| max_new_tokens | 2048-4096 | 1024-2048 | +| repetition_penalty | 1.0 | 1.05 | + +## Model Architecture + +| Parameter | Value | +|---|---| +| Parameters | ~8B | +| Hidden size | 4,096 | +| Layers | 36 | +| Attention heads | 32 (8 KV heads, GQA) | +| Intermediate size | 12,288 | +| Max position embeddings | 40,960 | +| Vocabulary size | 151,936 | +| Precision | bfloat16 | + +## Evaluation + +Evaluated with [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) (5-shot, bf16, A100-80GB). + +### Results vs base Qwen3-8B + +| Benchmark | Metric | Qwen3-8B-OpusReasoning | Base Qwen3-8B | Δ | +|---|---|---|---|---| +| **MMLU** | accuracy | **75.40%** | 72.93% | **+2.47** ✅ | +| **ARC-Challenge** | acc_norm | **65.87%** | 56.74% | **+9.13** ✅✅ | +| **ARC-Challenge** | accuracy | 64.42% | — | — | +| **HellaSwag** | acc_norm | **76.98%** | 74.91% | **+2.07** ✅ | +| **HellaSwag** | accuracy | 58.32% | — | — | +| **GSM8K** | exact_match (strict) | 86.20% | 88.60% | -2.40 | +| **GSM8K** | exact_match (flexible) | 86.66% | — | — | + +### Analysis + +- **MMLU +2.47, ARC-Challenge +9.13, HellaSwag +2.07** — the model retains and slightly improves general knowledge and commonsense reasoning after reasoning-focused fine-tuning, without catastrophic forgetting. +- **ARC-Challenge +9.13** is a strong signal that Opus-style structured reasoning transfers well to scientific reasoning tasks. +- **GSM8K -2.4** is a minor regression, likely due to longer `` traces being occasionally truncated by the default `max_gen_toks` — the model is still at ~87% on grade-school math. + +More rigorous reasoning benchmarks (MMLU-Pro, MATH-Hard, AIME, IFEval, MuSR) are being evaluated and will be added here. + +## Best Suited For + +- Mathematical problem solving (arithmetic, algebra, word problems) +- Logical reasoning and deduction +- Code generation with explanation +- Multi-step analytical question answering +- Instruction-following tasks with constraints +- Offline / on-prem reasoning assistants (fits in 16GB VRAM at bf16) + +## Limitations & Intended Use + +- **Scale of supervision:** fine-tuned on only ~4K samples — gains are stylistic and structural, not broad knowledge expansion +- **Hallucination risk:** reasoning traces may confidently cite non-existent facts; verify external claims +- **Opus-style bias:** inherits tendencies of the teacher (e.g., verbosity, occasional over-hedging) +- **Language:** primarily English training data +- **Not verified for safety-critical use** — research and learning only +- **Base model license constraints:** follow Qwen3 upstream license in commercial settings + +## Acknowledgments + +- [Qwen Team](https://huggingface.co/Qwen) — Qwen3-8B base model +- [Unsloth](https://github.com/unslothai/unsloth) — efficient fine-tuning kernels +- [Anthropic](https://www.anthropic.com/) — Claude Opus reasoning (teacher) +- Dataset authors: [Crownelius](https://huggingface.co/Crownelius), [Jackrong](https://huggingface.co/Jackrong) + +## Citation + +```bibtex +@misc{qwen3-8b-opusreasoning, + title = {Qwen3-8B-OpusReasoning}, + author = {Vo Nhat Cuong}, + year = {2026}, + publisher = {Hugging Face}, + howpublished = {\url{https://huggingface.co/NhatCuong22/Qwen3-8B-OpusReasoning}} +} +``` + +## License + +Apache 2.0 (inherits from Qwen3-8B upstream). diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..e079919 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,98 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# 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' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for forward_message in messages %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- set message = messages[index] %} + {%- set current_content = message.content if message.content is not none else '' %} + {%- set tool_start = '' %} + {%- set tool_start_length = tool_start|length %} + {%- set start_of_message = current_content[:tool_start_length] %} + {%- set tool_end = '' %} + {%- set tool_end_length = tool_end|length %} + {%- set start_pos = (current_content|length) - tool_end_length %} + {%- if start_pos < 0 %} + {%- set start_pos = 0 %} + {%- endif %} + {%- set end_of_message = current_content[start_pos:] %} + {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set content = message.content %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is defined and message.reasoning_content is not none %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in message.content %} + {%- set content = (message.content.split('')|last).lstrip('\n') %} + {%- set reasoning_content = (message.content.split('')|first).rstrip('\n') %} + {%- set reasoning_content = (reasoning_content.split('')|last).lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first 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' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..8c4c3f4 --- /dev/null +++ b/config.json @@ -0,0 +1,72 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "torch_dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 12288, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + 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"clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "is_local": false, + "model_max_length": 40960, + "pad_token": "<|PAD_TOKEN|>", + "padding_side": "right", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null, + "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- set message = messages[index] %}\n {%- set current_content = message.content if message.content is not none else '' %}\n {%- set tool_start = '' %}\n {%- set tool_start_length = tool_start|length %}\n {%- set start_of_message = current_content[:tool_start_length] %}\n {%- set tool_end = '' %}\n {%- set tool_end_length = tool_end|length %}\n {%- set start_pos = (current_content|length) - tool_end_length %}\n {%- if start_pos < 0 %}\n {%- set start_pos = 0 %}\n {%- endif %}\n {%- set end_of_message = current_content[start_pos:] %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '' in message.content %}\n {%- set content = (message.content.split('')|last).lstrip('\\n') %}\n {%- set reasoning_content = (message.content.split('')|first).rstrip('\\n') %}\n {%- set reasoning_content = (reasoning_content.split('')|last).lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n\\n' + reasoning_content.strip('\\n') + '\\n\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first 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 {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '\\n\\n\\n\\n' }}\n {%- endif %}\n{%- endif %}" +} \ No newline at end of file