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GSQ-RCO Quantized GGUFs for Qwen3.8-Flash-Next Released, Including Pruned Coder Build
AI intel briefing
Core summary
One sentence to understand this update
Quantized GGUF versions of Qwen3.8-Flash-Next, a sparse mixture-of-experts model, have been released using GSQ and RCO methods, alongside a specialized 50% expert-pruned Coder build.
Impact & opportunity
What this could mean
Local LLM developers can now leverage optimized, smaller versions of Qwen3.8-Flash-Next for efficient deployment and specialized coding tasks on consumer hardware.
Source
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