mirzayasirabdullahbaig07/Fine-Tuning-LLaMA-3.2-3B-Using-PEFT-LoRA
This project showcases parameter-efficient fine-tuning of the LLaMA 3.2 (3B) language model using PEFT (Parameter-Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation). It is optimized for minimal resource usage and trained on a domain-specific dataset to enhance performance in specialized tasks.
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