LoRA & PEFT: The Easy Way to Fine-Tune LLMs скачать в хорошем качестве

LoRA & PEFT: The Easy Way to Fine-Tune LLMs

LoRA & PEFT: The Easy Way to Fine-Tune LLMs Want to fine-tune an LLM without needing a massive GPU? In this video, I show you how to use Parameter-Efficient Fine-Tuning (PEFT) to adapt the Qwen2-0.5B language model for your own tasks. Instead of updating billions of parameters, we train only a tiny fraction of the model using techniques like LoRA, making fine-tuning faster, cheaper, and possible on consumer hardware. You’ll learn: -Fine-tuning techniques -What PEFT is and why it matters -How LoRA reduces memory usage during fine-tuning -How to set up the Qwen2-0.5B model with Hugging Face -Step-by-step PEFT training code -How to test your fine-tuned mode Notebook available at: 📁 Github: https://github.com/enomis-dev/YouTube... Timestamps: (0:00) Intro (0:05) What does fine-tuning mean? (0:52) Approches for fine-tuning (3:43) LORA (4:14) Model-Prep (4:39) Test model pre fine-tuning (5:16) PEFT fine-tuning (9:25) Improvements (9:58) Outro Intro and Outro music: https://mixkit.co/free-sound-effects/... Cinematic transition brass hum video: https://www.pexels.com/video/the-sun-...