LLM Quantization: GPTQ, AWQ, and GGUF for Efficient Deployment
Quantization reduces LLM memory by 4-8x with minimal quality loss. Learn GPTQ, AWQ, GGUF formats, quantization levels, and deployment strategies for efficient inference.
Quantization
Deploying Open-Source LLMs on Resource-Constrained Infrastructure
A practical, technical guide to running open-source LLMs on CPU-only machines and small GPU servers — tools, trade-offs, and quick-starts for startups.
AI Model Compression: Quantization, Pruning, and Distillation
Master AI model compression techniques including quantization, pruning, and knowledge distillation. Learn how to reduce model size while maintaining accuracy for efficient deployment.