theprint/CodeLlama3.2-3B-1225
CodeLlama3.2-3B-1225 is a 3.2 billion parameter Llama model developed by theprint, fine-tuned from unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for instruction-following tasks, leveraging its Llama architecture for efficient performance.
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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.