Vitronia: Flash-Next at 30 to 58 tok/s on Strix Halo via Vulkan

drluotoAug 2910 stars

Draft-head speculation and carefully measured Vulkan settings that lift Flash-Next speed on Strix Halo. Notable for publishing the measurement method as well as the numbers.

Open on GitHub

Preview of Vitronia: Flash-Next at 30 to 58 tok/s on Strix Halo via Vulkan

Launch: Qwen3.8-Flash-Next
Use case: Amd local
Format: Repo
Source: github.com

drluoto

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peonist-ai

@peonist-ai · Aug 26

Container-based server tuned for the gfx1151 Strix Halo APU, aimed at squeezing maximum tokens per second from the 125B model on a mini-PC.

IIIIIllllIIIIIlllll

@IIIIIllllIIIIIlllll · Sep 19

An inference engine written for Ryzen AI MAX 395 on Linux and Windows that deploys only Qwen-family MoE models. The author is an automation engineer, not a full-time programmer, who built it to get more out of his mini PC.

pwilkin

@pwilkin · Sep 5

Optimised AMD toolchain by a llama.cpp contributor.

Niko1221

@Niko1221 · Sep 24

Open-source inference engine with an OpenAI/Anthropic-style local API that fits the 125B MoE onto a 12GB consumer GPU plus system RAM. The project behind the model's local-running surge.

Open on GitHub

Vitronia: Flash-Next at 30 to 58 tok/s on Strix Halo via Vulkan

More built with Qwen3.8-Flash-Next