#Gptq — Kunal Ganglani

GGUF vs GPTQ vs EXL2: LLM Quantization Compared [2026]

GGUF vs GPTQ vs EXL2: LLM Quantization Formats Compared

A head-to-head comparison of GGUF, GPTQ, and EXL2 quantization formats with real quality, speed, and VRAM trade-offs — updated for the 2026 Hugging Face acquisition of ggml.ai.

Keep exploring

Close to this topic, not on this page.

LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 The practitioner's guide to choosing between Q4_K_M, Q5_K_S, Q8_0, and FP16 quantization for local LLMs — with real perplexity numbers… 13 min read
RTX 4060 Ti vs RTX 4070 for Local LLM Inference I'd pick the RTX 4060 Ti if you're running sub-13B models solo on a tight budget, and the RTX 4070 if VRAM headroom and generation speed… 12 min read
KoboldCpp GGUF Setup Guide: When It Beats Ollama Run your existing .gguf models in KoboldCpp in under 15 minutes. 7 min read