366 t/s Qwen3.6 27B NVFP4 on v100s

Reddit r/LocalLLaMA Tools

Summary

Introduces v100-skinny, a custom kernel library enabling fast NVFP4 inference on V100 (sm70) GPUs, achieving 366 t/s for Qwen3.6 27B in best-case extraction, with lower speeds for structured generation and code.

These are single stream numbers Following on from my previous post about v100s (here) and inspired by this comment (here) I decided to work on kernels that allow for an extremely fast path for Nvfp4 weights on sm70 and almost free deep speculation on sm70 as well. Which leads me excitedly on to the launch of “v100-skinny” (cause the kernels are skinny) My work and how to run can be found here: https://github.com/dnv2003/v100-skinny Many caveats about the quoted number in the title are in the repo but it is the absolute best case for mtp that being extraction. However you can expect around 240 on structured generation like json and 200 on mtp friendly code (think boiler plate,patterns, html etc using the “flagship configuration of k=7”)
Original Article

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