exet2710/llama_finetune_16bit
The exet2710/llama_finetune_16bit is a 3.2 billion parameter Llama-based instruction-tuned model developed by exet2710. Finetuned from unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit, this model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The exet2710/llama_finetune_16bit is a 3.2 billion parameter Llama-based instruction-tuned model. Developed by exet2710, it is finetuned from the unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit base model.
Key Characteristics
- Efficient Training: This model was trained significantly faster (2x) by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
- Base Model: It builds upon a Llama 3.2 3B Instruct model, indicating its suitability for conversational and instruction-following applications.
- Parameter Count: With 3.2 billion parameters, it offers a balance between performance and computational efficiency.
Use Cases
This model is well-suited for tasks requiring instruction adherence and general language generation, benefiting from its optimized training process. Its smaller size makes it a good candidate for applications where resource efficiency is important.