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Look no further! 👀 I am excited to share “How to Fine-Tune LLMs in 2024 with Hugging Face” using the latest research techniques, including Flash Attention, Q-LoRA, OpenAI dataset formats (messages), ChatML, Packing, all built with Hugging Face TRL. 🚀"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"It is created for consumer-size GPUs (24GB) covering the full end-to-end lifecycle with: ","raw":"It is created for consumer-size GPUs (24GB) covering the full end-to-end lifecycle with: "},{"type":"new_line","raw":"\n"},{"type":"text","value":"💡Define and understand use cases for fine-tuning","raw":"💡Define and understand use cases for fine-tuning"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🧑🏻‍💻 Setup of the development environment","raw":"🧑🏻‍💻 Setup of the development environment"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🧮 Create and prepare dataset (OpenAI format)","raw":"🧮 Create and prepare dataset (OpenAI format)"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🏋️‍♀️ Fine-tune LLM using TRL and the SFTTrainer","raw":"🏋️‍♀️ Fine-tune LLM using TRL and the SFTTrainer"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🥇 Test and evaluate the LLM","raw":"🥇 Test and evaluate the LLM"},{"type":"new_line","raw":"\n"},{"type":"text","value":"🚀 Deploy for production with TGI","raw":"🚀 Deploy for production with TGI"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"👉  ","raw":"👉  "},{"type":"link","href":"https://www.philschmid.de/fine-tune-llms-in-2024-with-trl","raw":"https://www.philschmid.de/fine-tune-llms-in-2024-with-trl"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Coming soon: Advanced Guides for multi-GPU/multi-Node full fine-tuning and alignment using DPO & KTO. 🔜","raw":"Coming soon: Advanced Guides for multi-GPU/multi-Node full fine-tuning and alignment using DPO & KTO. 🔜"}],"rawContent":"What's the best way to fine-tune open LLMs in 2024? 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