commit e8a701ffcecbe3e2cfd7d79cd6fbac93825c5ff5 Author: ModelHub XC Date: Sat Jun 13 10:51:16 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: ryzdfm/qwen2.5-coder-3b-claude_opus_4.6-distilled Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..617b17b --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.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 +qwen2.5-coder-3b-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/Modelfile b/Modelfile new file mode 100644 index 0000000..2ea0c94 --- /dev/null +++ b/Modelfile @@ -0,0 +1,54 @@ + +FROM qwen2.5-coder-3b-instruct.Q4_K_M.gguf +TEMPLATE """{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|> +{{- else if .Messages }} +{{- if or .System .Tools }}<|im_start|>system +{{- if .System }} +{{ .System }} +{{- end }} +{{- if .Tools }} + +# Tools + +You may call one or more functions to assist with the user query. + +You are provided with function signatures within : + +{{- range .Tools }} +{"type": "function", "function": {{ .Function }}} +{{- end }} + + +For each function call, return a json object with function name and arguments within with NO other text. Do not include any backticks or ```json. + +{"name": , "arguments": } + +{{- end }}<|im_end|> +{{ end }} +{{- range $i, $_ := .Messages }} +{{- $last := eq (len (slice $.Messages $i)) 1 -}} +{{- if eq .Role "user" }}<|im_start|>user +{{ .Content }}<|im_end|> +{{ else if eq .Role "assistant" }}<|im_start|>assistant +{{ if .Content }}{{ .Content }} +{{- else if .ToolCalls }} +{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}} +{{ end }} +{{- end }}{{ if not $last }}<|im_end|> +{{ end }} +{{- else if eq .Role "tool" }}<|im_start|>user + +{{ .Content }} +<|im_end|> +{{ end }} +{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant +{{ end }} +{{- end }} +{{- else }} +{{- if .System }}<|im_start|>system +{{ .System }}<|im_end|> +{{ end }}{{ if .Prompt }}<|im_start|>user +{{ .Prompt }}<|im_end|> +{{ end }}<|im_start|>assistant +{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}""" +SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant.""" \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..9cfb69e --- /dev/null +++ b/README.md @@ -0,0 +1,170 @@ +--- +language: +- en +license: apache-2.0 +tags: +- qwen2.5 +- qwen2.5-coder +- unsloth +- reasoning +- chain-of-thought +- coding +- distillation +- claude +base_model: Qwen/Qwen2.5-Coder-3B-Instruct +datasets: +- nohurry/Opus-4.6-Reasoning-3000x-filtered +- TeichAI/claude-4.5-opus-high-reasoning-250x +- Jackrong/Qwen3.5-reasoning-700x +pipeline_tag: text-generation +--- + +# 🌟 Qwen2.5-Coder-3B — Claude Opus 4.6 Reasoning Distilled + +A compact, fast, locally-runnable coding model fine-tuned on top of **Qwen2.5-Coder-3B-Instruct** using high-quality reasoning trajectories distilled from **Claude 4.6 Opus**. Designed to run efficiently on consumer hardware with as little as **4GB VRAM** at ~88 tokens/sec. + +--- + +## 💡 Model Introduction + +**Qwen2.5-Coder-3B-Claude-Opus-4.6-Distilled** combines the strong code generation foundation of Qwen2.5-Coder with the structured, step-by-step reasoning style of Claude 4.6 Opus. Through Supervised Fine-Tuning (SFT) with LoRA, the model learns to think through problems carefully inside `` tags before delivering precise, well-structured answers. + +Unlike larger distilled models, this 3B model is built for **real local inference** — fast, private, and fits comfortably in 4GB VRAM. + +--- + +## 🧠 Reasoning Style + +The model adopts Claude Opus's structured reasoning pattern: + +``` + +Let me analyze this carefully. + +1. Identify the core objective. +2. Break down into subcomponents. +3. Consider edge cases and constraints. +4. Formulate and verify the solution. + + +[Final clean answer here] +``` + +--- + +## 🗺️ Training Pipeline + +``` +Base Model (Qwen/Qwen2.5-Coder-3B-Instruct) + │ + ▼ +Supervised Fine-Tuning (SFT) + LoRA (r=16) + │ • 3,209 high-quality Claude reasoning samples + │ • Unsloth 2x faster training + │ • 1 epoch on T4 GPU (~46 mins) + │ • Final loss: 0.88 + ▼ +Qwen2.5-Coder-3B-Claude-Opus-4.6-Distilled +``` + +--- + +## 📋 Training Details + +| Parameter | Value | +|---|---| +| Base Model | Qwen/Qwen2.5-Coder-3B-Instruct | +| Framework | Unsloth 2026.3 | +| LoRA rank | 16 | +| LoRA alpha | 16 | +| Trainable params | 29,933,568 (0.96%) | +| Batch size | 16 (4 × 4 grad accum) | +| Learning rate | 2e-4 | +| Epochs | 1 | +| Max seq length | 4096 | +| Final train loss | 0.88 | +| GPU | Tesla T4 (16GB) | +| Training time | ~46 mins | + +--- + +## 📚 Datasets Used + +| Dataset | Samples | Purpose | +|---|---|---| +| [nohurry/Opus-4.6-Reasoning-3000x-filtered](https://huggingface.co/datasets/nohurry/Opus-4.6-Reasoning-3000x-filtered) | 2,326 | Claude 4.6 Opus reasoning trajectories | +| [TeichAI/claude-4.5-opus-high-reasoning-250x](https://huggingface.co/datasets/TeichAI/claude-4.5-opus-high-reasoning-250x) | 250 | High-intensity structured reasoning | +| [Jackrong/Qwen3.5-reasoning-700x](https://huggingface.co/datasets/Jackrong/Qwen3.5-reasoning-700x) | 633 | Step-by-step reasoning diversity | +| **Total** | **3,209** | | + +--- + +## 🚀 Running Locally + +### Via Ollama (easiest) +```bash +ollama run hf.co/ryzdfm/qwen2.5-coder-3b-claude_opus_4.6-distilled +``` + +### Via llama.cpp (for GPU acceleration) +```bash +./llama-cli.exe \ + -m qwen2.5-coder-3b-claude_opus_4.6-distilled.Q4_K_M.gguf \ + -ngl 99 \ + --flash-attn on \ + --jinja \ + -cnv \ + --repeat-penalty 1.1 \ + -p "You are a helpful assistant that thinks step by step." +``` + +--- + +## 🌟 Core Capabilities + +- **Structured Reasoning** — thinks through problems step by step in `` blocks before answering +- **Code Generation** — built on Qwen2.5-Coder, strong at Python, JavaScript, algorithms +- **Math & Logic** — correctly solves multi-step problems with verification +- **Fast Local Inference** — 88 t/s on RTX 3050 4GB, fully GPU-accelerated + +--- + +## ⚡ Hardware Requirements + +| Quantization | VRAM | Speed (RTX 3050) | +|---|---|---| +| Q4_K_M (this file) | ~2.1 GB | ~88 t/s | +| Q3_K_M | ~1.7 GB | ~95 t/s | +| Q8_0 | ~3.3 GB | ~70 t/s | + +Runs comfortably on **4GB VRAM** laptops and desktops. + +--- + +## ⚠️ Limitations + +- **3B scale** — will struggle with very long multi-file code generation or complex system design +- **1 epoch training** — reasoning style is distilled but not as deep as larger models +- **Hallucination risk** — like all LLMs, may produce incorrect facts; always verify outputs + +--- + +## 🙏 Acknowledgements + +- [Unsloth AI](https://unsloth.ai/) for making fine-tuning accessible on consumer hardware +- [nohurry](https://huggingface.co/nohurry), [TeichAI](https://huggingface.co/TeichAI), and [Jackrong](https://huggingface.co/Jackrong) for the high-quality distillation datasets +- Qwen team for the excellent Qwen2.5-Coder base model + +--- + +## 📖 Citation + +```bibtex +@misc{ryzdfm_qwen25coder_claude_distilled, + title = {Qwen2.5-Coder-3B Claude Opus 4.6 Reasoning Distilled}, + author = {ryzdfm}, + year = {2026}, + publisher = {Hugging Face}, + howpublished = {\url{https://huggingface.co/ryzdfm/qwen2.5-coder-3b-claude_opus_4.6-distilled}} +} +``` diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /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 Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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..0e55f45 --- /dev/null +++ b/config.json @@ -0,0 +1,70 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": null, + "torch_dtype": "float16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 11008, + "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", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + 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https://git-lfs.github.com/spec/v1 +oid sha256:bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31 +size 11422356 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..297e988 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,17 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": [], + "is_local": false, + "model_max_length": 32768, + "pad_token": "<|PAD_TOKEN|>", + "padding_side": "left", + "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 {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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 file