QLoRA Courses and Certifications

Shaw Talebi

QLoRA - How to Fine-tune an LLM on a Single GPU with Python Code

Learn to fine-tune large language models on a single GPU using QLoRA. Explore quantization techniques, LoRA, and practical implementation with Python code for custom YouTube comment responses.

• YouTube
• 37 minutes
• On-Demand
• Free Video

AI Bites

QLoRA: Efficient Training of Large Language Models Using Quantization and Low-Rank Adaptation

Discover how QLoRA enables efficient training of large language models on a single GPU through innovative techniques like NormalFloat, Double Quantization, and Paged Optimizers.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Discover AI

Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs

Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.

• YouTube
• 42 minutes
• On-Demand
• Free Video

sentdex

QLoRA Is All You Need - Fast and Lightweight Model Fine-Tuning

Explore QLoRA for efficient model fine-tuning, covering research, datasets, training process, adapters, and practical examples. Learn to optimize large language models with quantized low-rank adapters.

• YouTube
• 24 minutes
• On-Demand
• Free Video

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

29703 ratings at Udemy

Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.

• Udemy
• 1 day 9 hours 24 minutes
• On-Demand
• Paid Course

The Machine Learning Engineer

Llama3 8B QLora Fine-Tuning with Chain-of-Thought Dataset

Fine-tune Llama3 8B model using QLora with chain-of-thought dataset. Learn step-by-step process and access provided notebooks for Llama3, Llama2, and Mistral models.

• YouTube
• 28 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset

Fine-tune Llama2 7B model using QLora with chain-of-thought dataset. Learn step-by-step process, access provided notebooks, and explore CodeLlama implementation for enhanced machine learning capabilities.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Microcredential

AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)

Master fine-tuning open-source LLMs with QLoRA and AWS SageMaker. Build custom AI models for business, deploy scalable solutions, and optimize costs through advanced quantization techniques.

• Zero To Mastery
• 7 hours
• On-Demand
• Paid Course

Microcredential

AI Engineering: Fine-Tuning LLMs (with QLoRA, AWS, and Open Source)

Master fine-tuning open-source LLMs with QLoRA, deploy on AWS SageMaker, and build enterprise-ready AI solutions using proprietary data and advanced optimization techniques.

• Zero To Mastery
• 7 hours
• On-Demand
• Paid Course

Shaw Talebi

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Trelis Research

Fine-tuning Language Models for Structured Responses with QLoRa - Lecture

Master fine-tuning language models for structured responses using QLoRa. Learn quantization, data setup, training, inference, and advanced techniques to enhance model performance and efficiency.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Discover AI

LLM Quantization Tutorial: QLoRA, GPTQ, and LLama.cpp Implementation for LLama 2

Master LLM quantization techniques and implement efficient model compression using QLoRA, GPTQ, and Llamacpp, with practical guidance for running optimized LLMs locally across different platforms.

• YouTube
• 27 minutes
• On-Demand
• Free Video

sentdex

Building an LLM Fine-Tuning Dataset - From Reddit Comments to QLoRA Training

Learn to build a QLoRA fine-tuning dataset for language models using Reddit data. Covers data acquisition, processing, structuring, and training sample creation, culminating in QLoRA training and results analysis.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Trelis Research

Full Fine-Tuning vs LoRA and QLoRA - Comparison and Best Practices

Explore full fine-tuning vs (Q)LoRA techniques, comparing VRAM usage, training time, and quality. Learn parameter selection, tips for QLoRA, and step-by-step guidance for TinyLlama and Mistral 7B fine-tuning.

• YouTube
• 53 minutes
• On-Demand
• Free Video

LLMOps Space

Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques

Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.

• YouTube
• 54 minutes
• On-Demand
• Free Video