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Learn how to efficiently fine-tuning the Llama 3.1 model using Unsloth, LoRa, and QLoRa techniques. LINKS: Colab: https://tinyurl.com/bdzxhy5n Unsloth: https://unsloth.ai/blog/llama3-1 Huggingface blog: https://huggingface.co/blog/mlabonne/... Unsloth UI: https://tinyurl.com/24shjemu Dataset: https://tinyurl.com/2jh5ajr3 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/c... Let's Connect: 🦾 Discord: / discord ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: / promptengineering 💼Consulting: https://calendly.com/engineerprompt/c... 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 TIMESTAMPS: 00:00 Introduction to Open Weight Models 00:26 Fine-Tuning Lama 3 with UnSloth 00:46 Stages of Model Training 02:21 Supervised Fine-Tuning Techniques 04:43 Setting Up the Training Environment 06:07 Understanding LoRa and QLoRa 09:15 Data Preparation for Fine-Tuning 10:51 Training and Inference 12:46 Saving and Loading Models 13:40 UnSloth's Chat UI Demo 14:44 Conclusion and Next Steps All Interesting Videos: Everything LangChain: • LangChain Everything LLM: • Large Language Models Everything Midjourney: • MidJourney Tutorials AI Image Generation: • AI Image Generation Tutorials