Full benchmark results and in-depth analysis are available in the articles: KV Cache Quantization Benchmarks for Long Context and KVarN KV Cache: Implementation and Benchmarks . BeeLlama.cpp (my llama.cpp fork) was used as inference engine due to support of additional types: KVarN (as of v0.3.2 Preview ), q6_0, TurboQuant, and TCQ. submitted by /u/Anbeeld [link] [comments]