Скачать с ютуб Understanding 4bit Quantization: QLoRA explained (w/ Colab) в хорошем качестве

Understanding 4bit Quantization: QLoRA explained (w/ Colab)

QLoRA 4bit Quantization for memory efficient fine-tuning of LLMs explained in detailed. 4-bit quantization QLoRA for beginners, theory and code. PEFT - parameter efficient fine-tuning methods. Based on my first videos on the theory of LoRA and other PEFT methods (   • PEFT LoRA Explained in Detail - Fine-...  ) and the detailed code implementation of LoRA in my video (   • Boost Fine-Tuning Performance of LLM:...  ) now my third video on 4-bit quantization and QLoRA. An additional Colab NB with code to fine-tune FALCON 7B with QLoRA 4-bit quantization and Transformer Reinforcement Learning (TLR). Huggingface Accelerate now supports 4-bit QLoRA LLM models. https://github.com/huggingface/accele... QLoRA 4-bit Colab NB: (all rights with Author Artidoro Pagnoni) https://colab.research.google.com/dri... #4bit #4bits #quantization #languagemodel #largelanguagemodels