Hapissss/Fine-Tune-Llama-3B
The Hapissss/Fine-Tune-Llama-3B is a 3.2 billion parameter Llama-based instruction-tuned causal language model developed by Hapissss. This model was fine-tuned using Unsloth and Hugging Face's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Llama architecture for efficient performance.
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Overview
The Hapissss/Fine-Tune-Llama-3B is a 3.2 billion parameter instruction-tuned language model. It is based on the Llama architecture and was developed by Hapissss. This model was fine-tuned from unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Llama-based, 3.2 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Hugging Face's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for various instruction-following applications where a compact yet capable Llama-based model is beneficial. Its efficient training process suggests potential for rapid iteration and deployment in scenarios requiring a smaller footprint.