Drilldown: Recipe
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Recipe > source
:
https://github.com/clee/qwen3.8-flash-next-3x170hx
or
https://github.com/mw00/project-maya#how-fast-is-it 
:
https://github.com/clee/qwen3.8-flash-next-3x170hx
or
https://github.com/mw00/project-maya#how-fast-is-it 
Use the filters below to narrow your results.
Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) (1) ·
Maya-M GGUF (116 GB), every expert in VRAM; Maya-S (96.5 GB) and Maya-S24 (94.7 GB) also reported (1) ·
W4A16 AutoRound: Intel/Qwen3.8-Flash-Next-W4A16-AutoRound; 95.4 GiB BF16 PLE table streamed from NVMe; KV fp8 e4m3 (software-decoded on SM80) (1)
Error in "where" parameter: the string "#" cannot be used within #cargo_query.
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