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ramkrish
ramkrish120595
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What's the best way to fine-tune open LLMs in 2024? 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. 🚀 It is created for consumer-size GPUs (24GB) covering the full end-to-end lifecycle with: 💡Define and understand use cases for fine-tuning 🧑🏻💻 Setup of the development environment 🧮 Create and prepare dataset (OpenAI format) 🏋️♀️ Fine-tune LLM using TRL and the SFTTrainer 🥇 Test and evaluate the LLM 🚀 Deploy for production with TGI 👉 https://www.philschmid.de/fine-tune-llms-in-2024-with-trl Coming soon: Advanced Guides for multi-GPU/multi-Node full fine-tuning and alignment using DPO & KTO. 🔜
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ramkrish120595/mistral_instruct-7b-oig-unsloth
Updated
May 6
ramkrish120595/mistral_instruct-7b-oig-unsloth-merged
Text Generation
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Updated
May 6
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17
ramkrish120595/code-llama-7b-text-to-sql
Updated
Apr 4
ramkrish120595/tamil-llama-gguf
Updated
Mar 14
ramkrish120595/finetune_mistral_200_data
Updated
Feb 27
ramkrish120595/debug_seq2seq_squad
Question Answering
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Aug 4, 2023
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