On-Device & Local InferenceUygar Kurt

Uygar Kurt publishes a unified evaluation of llama.cpp quantization

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Published a paper evaluating llama.cpp quantization in a unified way — compares 3- to 8-bit K-quants and legacy formats across benchmarks, perplexity, throughput, file size and even quantization time

Why it matters

The first unified reference to move the choice of quantization from gut feel to measurement

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2601.14277

Added in Week 35, 2026 · See that week

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  1. Previous stopApple publishes M5 GPU Neural Accelerator + MLX benchmarks
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  3. Next stopGoogle releases Gemma 4 as an AICore developer preview
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