Model Overview

CodeLlama3.2-3B-1225 is a 3.2 billion parameter Llama model developed by theprint. It is fine-tuned from the unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit base model, indicating its specialization in instruction-following tasks.

Key Characteristics

• Architecture: Llama 3.2 series.
• Parameter Count: 3.2 billion parameters.
• Training Efficiency: This model was trained 2x faster using Unsloth and Huggingface's TRL library, highlighting an optimized training process.
• License: Distributed under the Llama3.2 Community License Agreement.

Use Cases

This model is suitable for applications requiring a compact yet capable instruction-tuned language model, particularly where training efficiency and Llama 3.2 compatibility are important considerations. Its optimized training suggests potential for rapid deployment and iteration in development workflows.