Shypd.aiThe largest open index of AI toolsLLM-Finetuning is an open-source coding & development tool that provides resources and notebooks for efficiently fine-tuning large language models. It leverages LoRA and Hugging Face's transformers library for various LLM models.
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LLM-Finetuning is an open-source project hosted on GitHub, dedicated to the efficient fine-tuning of large language models (LLMs) using techniques like LoRA and Hugging Face's transformers library. The repository offers a collection of Jupyter notebooks that guide users through various fine-tuning processes for different LLMs, including Llama 2, Falcon-7b, GPT-Neo-X-20B, Mistral-7b, and Microsoft Phi 1.5b. It also covers advanced topics such as RLHF training, RAG pipeline evaluation with MLFLOW, and optimizing LLMs with cache-augmented generation. This project is ideal for AI developers and researchers looking to customize and enhance LLM performance for specific tasks and datasets.
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