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GGUF Quantization: Which Level Should You Use?

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

Pick Q4_K_M by default; go Q6_K or Q8_0 when you have VRAM to spare and need the last few percent of quality. GGUF quantization shrinks a model's weights from 16 bits to fewer — Q4_K_M stores roughly 4.85 bits per weight, so a 7B model drops from ~14 GB to ~4.1 GB with perplexity typically less tha…

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  1. 2026-09-13 16:39 · DEV Community — AI
    GGUF Quantization: Which Level Should You Use?

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