Roadwarrior: how Flash-Next GGUF quants affect code quality

A benchmark comparing GGUF quantization levels on generated code, helping choose the smallest quant that still codes well.

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Preview of Roadwarrior: how Flash-Next GGUF quants affect code quality

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

Karim Lalani

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0xSero

@0xSero · Sep 29

Reports prefill and decode speeds for a single 24-32GB GPU plus NVMe, including an Intel Arc B70 result.

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.

MiaAI-Lab

@MiaAI-Lab · Sep 4

Step-by-step recipe to squeeze the 125B model onto one DGX Spark instead of two, with config and measured throughput.

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.

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Roadwarrior: how Flash-Next GGUF quants affect code quality

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