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Model: gss1147/Hunyuan-PythonGOD-0.5B-GGUF
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README.md

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+---
+language:
+  - en
+license: other
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - gguf
+  - hunyuan
+  - python
+  - code-generation
+  - code-assistant
+  - instruct
+  - conversational
+  - causal-lm
+  - full-finetune
+base_model:
+  - tencent/Hunyuan-0.5B-Instruct
+datasets:
+  - WithinUsAI/Python_GOD_Coder_Omniforge_AI_12k
+  - WithinUsAI/Python_GOD_Coder_5k
+  - WithinUsAI/Legend_Python_CoderV.1
+model-index:
+  - name: Hunyuan-PythonGOD-0.5B-GGUF
+    results: []
+---
+
+# Hunyuan-PythonGOD-0.5B-GGUF
+
+**Hunyuan-PythonGOD-0.5B-GGUF** is a compact Python-specialized coding model released in GGUF format for lightweight local inference. It is derived from a full fine-tune of `tencent/Hunyuan-0.5B-Instruct` and is aimed at code generation, Python scripting, debugging help, implementation tasks, and coding-oriented chat workflows.
+
+This repo provides quantized GGUF builds for efficient use with llama.cpp-compatible runtimes and other GGUF-serving backends.
+
+## Model Details
+
+### Base Model
+- **Base model:** `tencent/Hunyuan-0.5B-Instruct`
+- **Architecture:** Causal decoder-only language model
+- **Parameter scale:** ~0.5B
+- **Specialization:** Python coding and general code-assistant behavior
+- **Release format:** GGUF
+
+### Included Files
+- `Hunyuan-PythonGOD-0.5B.Q4_K_M.gguf`
+- `Hunyuan-PythonGOD-0.5B.Q5_K_M.gguf`
+- `Hunyuan-PythonGOD-0.5B.f16.gguf`
+
+## Training Summary
+
+This GGUF release is based on a **full fine-tune**, not an adapter-only export.
+
+### Training Datasets
+- `WithinUsAI/Python_GOD_Coder_Omniforge_AI_12k`
+- `WithinUsAI/Python_GOD_Coder_5k`
+- `WithinUsAI/Legend_Python_CoderV.1`
+
+### Training Characteristics
+- Full-parameter fine-tuning
+- Python/code-oriented instruction tuning
+- Exported as standard model weights before GGUF conversion
+- Intended for compact coding assistance and local inference experimentation
+
+## Intended Uses
+
+### Good Fits
+- Python function generation
+- Python script writing
+- Debugging assistance
+- Automation script drafting
+- Code-oriented local assistants
+- Small-model coding experiments
+
+### Not Intended For
+- Safety-critical software deployment without review
+- Autonomous execution without sandboxing
+- Guaranteed bug-free or secure code generation
+- Medical, legal, or financial decision support
+
+## Quantization Notes
+
+This repo includes multiple tradeoff points:
+
+- **Q4_K_M**: smaller footprint, faster/lighter inference
+- **Q5_K_M**: stronger quality-to-size balance
+- **F16**: highest fidelity in this repo, larger memory cost
+
+## Example llama.cpp Usage
+
+```bash
+./llama-cli -m Hunyuan-PythonGOD-0.5B.Q5_K_M.gguf -p "Write a Python function that validates an email address." -n 256