This model is a fine-tuned version of CodeLlama-7B trained on the CodeAlpaca dataset. The CodeAlpaca dataset focuses on instruction-following for coding tasks and code generation. The model has been fine-tuned using Unsloth’s LoRA training pipeline and converted into a GGUF model for deployment with Ollama.

• Base Model: CodeLlama-7B
• Dataset: CodeAlpaca Dataset
• Fine-tuning Type: Instruction tuning (SFT)
• Task: Code generation, instruction-following for programming tasks
• Training Framework: Unsloth (LoRA fine-tuning)
• Quantization: Q8_0
• Architecture: LLaMA 2 family
• Format: GGUF (compatible with Ollama, llama.cpp)

🧑‍💻 Intended Use

• General code generation
• Instruction following (e.g., “write a function to…”)
• Educational tasks and programming assistance

🚫 Limitations

• Might hallucinate if instructions are unclear or incomplete
• Limited to the scope and quality of CodeAlpaca data