75 KV cache quant pairs tested on Qwen 3.6 27B - KVarN, Turbo, TCQ all compared

Someone just ran 75 pairs of KV cache quantization benchmarks on Qwen 3.6 27B across q8, q6, q5, and q4 levels, testing KVarN, Turbo, and TCQ methods head to head for long context scenarios. Full results are published with in-depth analysis.

This is the kind of systematic comparison that has been missing. Previous KVarN benchmarks showed it matching standard quants one bit higher (6-bit matching q8_0, 4-bit matching q5_0), but that was on a different model. Seeing the same methodology applied to Qwen 3.6 27B across all three quantization approaches should reveal whether KVarN's advantage holds or if Turbo or TCQ close the gap on certain workloads.

The practical question is whether one method dominates across the board or if the best choice depends on your target bit width and context length.