Qwen 3.6 27B KV Cache Quantization Benchmarks: KVarN, Turbo, and TCQ Evaluated
r/LocalLLaMA top day·yesterday·Benchmark
Reddit user Anbeeld shared comprehensive KV cache quantization benchmarks for Qwen 3.6 27B across 75 configuration pairs. Using BeeLlama.cpp (a custom llama.cpp fork), the test evaluates q8, q6, q5, and q4 quantization levels. It specifically highlights advanced implementations like KVarN, TurboQuant, and TCQ to optimize long-context inference efficiency.
