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| title: Coding Agent | |
| emoji: π | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: docker | |
| pinned: false | |
| license: apache-2.0 | |
| --- | |
| title: Coding Agent Qwen-SFT v3 | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: gray | |
| sdk: docker | |
| pinned: false | |
| license: apache-2.0 | |
| --- | |
| # π Coding Agent Qwen-SFT v2 (GGUF) | |
| This is a fine-tuned **Qwen2.5-Coder-7B** model, optimized for production-grade Python, C++, and Rust development. | |
| ### π Key Features | |
| - **Logic-First:** Trained to avoid "Textbook" descriptions and provide direct code solutions. | |
| - **Efficient:** Quantized to 4-bit (GGUF) to run smoothly on standard CPUs. | |
| - **Context-Aware:** Handles complex concurrency, memory safety, and architectural prompts. | |
| ### π» Use it Locally (Ollama) | |
| You can run this exact model on your own machine: | |
| 1. **Install [Ollama](https://ollama.com)** | |
| 2. **Download the GGUF file** from this repository. | |
| 3. **Create a `Modelfile`**: | |
| ```dockerfile | |
| FROM ./coding-agent-qwen-sft-v2-GGUF.q4_k_m.gguf | |
| PARAMETER temperature 0.4 | |
| PARAMETER repeat_penalty 1.2 | |
| ``` | |
| 4. **Run:** `ollama create coding-agent -f Modelfile` then `ollama run coding-agent` | |
| ### π οΈ Inference Specs | |
| - **Repetition Penalty:** 1.2 | |
| - **Temperature:** 0.4 | |
| - **Stop Token:** `<|im_end|>` | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |