[r/LocalLLaMA]score: 0.20
A First Comprehensive Study of TurboQuant: Accuracy and Performance
May 14, 2026
A benchmarking study of TurboQuant KV-cache quantization in vLLM finds FP8 (--kv-cache-dtype fp8) remains the optimal default, delivering 2x capacity gains with negligible accuracy loss. TurboQuant k8v4 offers only 2.4x savings but hurts throughput and latency. TurboQuant 4-bit non-contiguous is the most practical variant for memory-constrained deployments.
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