QLoRA - Efficient Finetuning of Quantized LLMs Published 2023-05-26 Download video MP4 360p Recommendations 14:45 Fine-Tune Large LLMs with QLoRA (Free Colab Tutorial) 36:58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code) 10:30 All You Need To Know About Running LLMs Locally 04:38 LoRA - Low-rank Adaption of AI Large Language Models: LoRA and QLoRA Explained Simply 11:44 QLoRA paper explained (Efficient Finetuning of Quantized LLMs) 01:32 Fine-tuning vs. Instruction-tunning explained in under 2 minutes 17:07 LoRA explained (and a bit about precision and quantization) 15:35 Fine-tuning LLMs with PEFT and LoRA 08:05 GPT4ALL: Install 'ChatGPT' Locally (weights & fine-tuning!) - Tutorial 1:01:53 Tim Dettmers | QLoRA: Efficient Finetuning of Quantized Large Language Models 10:31 OpenLLM: Fine-tune, Serve, Deploy, ANY LLMs with ease. 06:25 LLaMA Factory: How to Fine Tune LLMs easily? 09:36 How to Improve your LLM? Find the Best & Cheapest Solution 14:36 Fine-tune LLama2 w/ PEFT, LoRA, 4bit, TRL, SFT code #llama2 05:08 How to Fine-Tune an LLM with a PDF - Langchain Tutorial 24:02 "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 12:43 QLoRA: Efficient Finetuning of Large Language Models on a Single GPU? LoRA & QLoRA paper review 15:22 Prepare Fine-tuning Datasets with Open Source LLMs Similar videos 30:48 QLoRA: Efficient Finetuning of Quantized LLMs | Tim Dettmers 29:00 QLoRA: Efficient Finetuning of Quantized LLMs Explained 08:10 QLORA: Efficient Finetuning of Quantized LLMs | Paper summary 42:06 Understanding 4bit Quantization: QLoRA explained (w/ Colab) 58:19 QLoRA: Efficient Finetuning of Quantized LLMs (2023) [Audio Version] 57:58 QLoRA: Efficient Finetuning of Quantized Large Language Models (Tim Dettmers) 1:09:32 The Magic Behind QLORA: Efficient Finetuning of Quantized LLMs 1:04:58 Paper Club with Gerard - QLoRA: Efficient Finetuning of Quantized LLMs 23:56 QLoRA is all you need (Fast and lightweight model fine-tuning) 00:27 Difference Between LoRA and QLoRA More results