Best AI News — Updated Every 3 Hours
Story Page
← All Stories
Home Community Story
Community

KV cache quantization benchmarks: 413 pairs tested on Qwen 3.6 27B, Gemma 4 31B. KLD with BeeLlama.cpp v0.4.0: KVarN 6-bit beats q8_0, precision tail 1024 dominates

Via r/LocalLlama
Thursday, Aug 6, 2026 · 5:09PM
Summary

Link to the article: KV Cache Quantization Benchmarks: KVarN, Precision Tail KLD benchmarks with BeeLlama.cpp v0.4.0, fork of llama.cpp with more KV cache quantization options. Models: Qwen 3.6 27B Q5_K_S 64k context, Gemma 4 31B Q5_K_S 16k context Standard quants, extended: q6_0 and q6_1, and low-b

Continue reading the full article
Read at r/LocalLlama
www.reddit.com
Back to all stories