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Model: ryzdfm/qwen2.5-coder-3b-claude_opus_4.6-distilled
Source: Original Platform

.gitattributes

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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*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

Modelfile

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+
+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 <tools></tools>:
+<tools>
+{{- range .Tools }}
+{"type": "function", "function": {{ .Function }}}
+{{- end }}
+</tools>
+
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> with NO other text. Do not include any backticks or ```json.
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call>
+{{- 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 }}<tool_call>
+{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
+{{ end }}</tool_call>
+{{- end }}{{ if not $last }}<|im_end|>
+{{ end }}
+{{- else if eq .Role "tool" }}<|im_start|>user
+<tool_response>
+{{ .Content }}
+</tool_response><|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."""

README.md

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+---
+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 `<think>` 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:
+
+```
+<think>
+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.
+</think>
+
+[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 `<think>` 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}}
+}
+```

chat_template.jinja

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+{%- 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 <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|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<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- 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 %}

config.json

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+{
+    "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",
+        "full_attention",
+        "full_attention",
+        "full_attention",
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+        "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"
+    ],
+    "max_position_embeddings": 32768,
+    "max_window_layers": 70,
+    "model_type": "qwen2",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 2,
+    "pad_token_id": 151665,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.3.18",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

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+  "add_prefix_space": false,
+  "backend": "tokenizers",
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+  "padding_side": "left",
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+  "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 <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|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<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\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<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\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"
+}