On-Device & Local InferenceUygar Kurt

Uygar Kurt publishes a unified evaluation of llama.cpp quantization

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

Same week

Don't Break the CachePaperMiniMax lists on the Hong Kong exchangePressZ.ai lists on the Hong Kong Stock ExchangeOfficialZhipu AI lists on the Hong Kong exchangePress

Nearby on the same axis

Liquid AI publishes the LFM2 technical reportPaperApple publishes M5 GPU Neural Accelerator + MLX benchmarksOfficialllama.cpp merges PR #19769, adding NVFP4OfficialGoogle releases Gemma 4 as an AICore developer previewOfficial