Drilldown: Recipe
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AWQ INT4: cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4; 95 GiB BF16 PLE table in host RAM (FP8 table optional) (1) ·
EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3 (1) ·
Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) (1) ·
Official checkpoint: dense MXFP8 through an SM80 Marlin W8A16 path, routed experts MXFP4 through W4A16; KV FP8 (1) ·
W4A16 (INT4 weights, Marlin kernels) (1) ·
W4A16, about 4.3 bpw, 163 GiB on disk (1)
Custom SM80 vLLM (patched from public commit 79a7108d9) (1) ·
ExLlamaV3 1.5.4 (built for SM80) with a small OpenAI-compatible server (1) ·
Morrowmake/vllm-cmp170hx (via the glm53-flash-cmp170hx-recipe) (1) ·
Project Maya (Strata and llama.cpp lineage) (1) ·
vLLM (1) ·
vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts (1)
Showing below up to 6 results in range #1 to #6.


