LLM Quantization Explained: GGUF vs GPTQ vs AWQ (2026 Guide)
Clear explanation of GGUF, GPTQ, and AWQ quantization for local LLMs. Which format to use with Ollama, llama.cpp, and vLLM, and how much quality you actually lose at each level.
Found 3 posts with this tag
Clear explanation of GGUF, GPTQ, and AWQ quantization for local LLMs. Which format to use with Ollama, llama.cpp, and vLLM, and how much quality you actually lose at each level.
Exact RAM requirements for running LLMs locally with Ollama, llama.cpp, and LM Studio. Covers 7B to 70B+ models, CPU offloading, context windows, and DDR5 vs DDR4.
Complete hardware requirements for running Meta's Llama 4 Scout (109B) and Maverick (400B) locally. VRAM requirements, quantization options, and GPU recommendations for every budget.