LLM fine-tuning and parameter-efficient adaptation

7 repos

Techniques and frameworks for efficiently adapting large language models through parameter-efficient fine-tuning methods like LoRA and PEFT. This cluster covers both the core libraries that enable these adaptation methods and applied implementations across multimodal and specialized model architectures. Developers working in this area will find both foundational tools for adapting models to new tasks and concrete examples of those tools applied to vision-language models and other specialized LLM variants.

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