Experimenting with Parameter Efficient Fine Tuning (PEFT) methods like LoRA, QLoRA to finetune Large Language Models (LLMs) The aim is to get an understanding of how LLMs function, learn pipelining of LLMs, and how models are fine-tuned to adapt to specific tasks and data
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Experimenting with Parameter Efficient Fine Tuning (PEFT) methods like LoRA, QLoRA to finetune LLMs
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SohamD34/Tuna-tuner
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Experimenting with Parameter Efficient Fine Tuning (PEFT) methods like LoRA, QLoRA to finetune LLMs
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