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A First Comprehensive Study of TurboQuant: Accuracy and Performance

Via r/LocalLlama
Thursday, May 14, 2026 · 8:59PM
Summary

TL;DR from the article: FP8 via --kv-cache-dtype fp8 remains the best default for KV-cache quantization: it provides 2x KV-cache capacity with negligible accuracy loss, while matching BF16 on most performance metrics and substantially improving them in memory-constrained serving scenarios. TurboQuan

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