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qwen3.8-flash-next-local-deploy

Qwen3.8-Flash-Next (125B MoE) 单卡 16G 本地部署实测:Strata + GSQ-RCO IQ3_XXS,Ubuntu 24.04

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GITHUB · launched Oct 14, 2026 · 34 upvotes (top 37%)

Similar launches

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Could you build this?

No Running a 125B MoE model on a single 16 GB GPU depends on custom quantization (GSQ-RCO IQ3_XXS) and inference optimizations. Reproducing that result requires ML systems expertise and access to the specific model weights.

What it would actually take: A real version needs a custom quantization pipeline, an inference runtime with expert offloading to CPU or disk, and careful kernel tuning. This takes ML systems and GPU-kernel expertise, and experimentation with the model's architecture.

Competitors

Other products that read as similar to this one : 144 launches clear the similarity bar, closest 8 shown.

Attention rank: #60 of 145 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

Other launches for this product

More details
External ID
1418170239
Company
n/a
Product
qwen3.8-flash-next-local-deploy
Website domain
github.com
Cohort
n/a
Upvotes percentile
0.63
All tags
n/a
AI summary
local deployment guide and scripts for quantized qwen moe model
Manually corrected
No