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--- |
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base_model: |
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- ertghiu256/qwen3-4b-code-reasoning |
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- Menlo/Jan-nano |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# 🧠 AgenticCoder‑4B |
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<img src="banner.png" width="800" /> |
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**AgenticCoder‑4B** is a compact 4B parameter language model designed for autonomous agent workflows and intelligent code reasoning. It merges the planning and tool-use strengths of `Jan-nano` with the coding and logic capabilities of `Qwen3‑4B‑Code‑Reasoning`, creating a balanced model ideal for real-world assistant scenarios, research agents, and smart development tools. |
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--- |
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## ✨ Key Features |
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- 🔁 **Agentic Planning & MCP Alignment** |
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Trained on datasets and architectures optimized for multi-step reasoning, task decomposition, and memory–contextual workflows. |
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- 💻 **Code Understanding & Reasoning** |
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Strong capabilities in Python code generation, script explanation, optimization, and multi-turn task development. |
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- 🧰 **Tool Use Simulation** |
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Handles realistic tool interaction prompts such as CSV analysis, OCR, and file parsing in code. |
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- 📦 **Compact & Efficient (4B)** |
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Lightweight enough for cost-efficient deployment, edge device integration, and fine-tuning. |
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--- |
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## 🛠️ Merge Details |
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- **Merge Method:** SLERP (`t = 0.4`) |
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- **Base Model:** [`Menlo/Jan-nano`](https://huggingface.co/Menlo/Jan-nano) |
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- **Merged With:** [`ertghiu256/qwen3-4b-code-reasoning`](https://huggingface.co/ertghiu256/qwen3-4b-code-reasoning) |
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- **Precision:** `float16` |
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- **Tokenizer Source:** `Menlo/Jan-nano` |
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--- |
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## 📎 Example Use Cases |
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```text |
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✅ "Design a 3-week beginner Python curriculum including AI tools." |
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✅ "Write a Python function to recursively scan JSON for a key, without using recursion." |
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✅ "Read a folder of images and extract text using OCR, save to files." |
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✅ "Summarize trends in a sales CSV and visualize monthly performance." |
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```` |
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--- |
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## 📁 License & Use |
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This model is provided for research and development use under the terms of the base models’ respective licenses. Please ensure compliance before commercial usage. |
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--- |
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## 🧬 Citation |
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If you use this model, consider citing it as: |
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``` |
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@misc{agenticcoder4b2025, |
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title={AgenticCoder-4B: A Compact Agent + Code Reasoning Model}, |
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author={Yasser, M.}, |
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year={2025}, |
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url={https://huggingface.co/your-username/AgenticCoder-4B} |
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} |
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``` |
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--- |
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## 🤝 Acknowledgements |
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* [Menlo/Jan-nano](https://huggingface.co/Menlo/Jan-nano) by Menlo Systems |
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* [Qwen3‑4B‑Code‑Reasoning](https://huggingface.co/ertghiu256/qwen3-4b-code-reasoning) by ertghiu256 |
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* MergeKit, SLERP, Hugging Face |
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--- |
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