GGUF vs EXL2 vs AWQ: which quantization format should you actually use in 2026?

Those confusing letters after a model's name decide how fast it runs and whether it works on your hardware at all. Here's the plain-English guide to…

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Lena Fischer · AI & Local Compute Editor

The short answer

GGUF (llama.cpp) — runs everywhere (CPU, Mac, any GPU). The default for personal/home use. Powers Ollama & LM Studio.

The short answer

EXL2 (ExLlamaV2) — NVIDIA-only, but the fastest for GPU inference, with precise VRAM targeting.

The short answer

AWQ — the default for production GPU servers (vLLM/TGI); loads fast, near-full quality.

The short answer

Just running AI at home? Use GGUF and don't overthink it.

The short answer

Quant level matters too: Q4_K_M is the standard sweet spot — near-lossless at a quarter the memory.

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GGUF vs EXL2 vs AWQ: which quantization format should you actually use in 2026?

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