A vLLM study comparing TurboQuant KV-cache quantization with BF16 and FP8 across long-context and reasoning workloads, showing where 4-bit variants help, where accuracy drops, and why FP8 remains the default choice.
A First Comprehensive Study of TurboQuant: Accuracy and Performance
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May 11, 2026
person
Eldar Kurtić, Michael Goin, Alexandre Marques (Red Hat AI)
domain
vllm