Drilldown: Recipe
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AutoRound mixed 2/3-bit (klee100, 2.998 effective bpw, 47 GiB on card) plus halt95's FP8 n-gram table in host RAM (1) ·
GLM-5.3-Int4-Int8Mix (INT4 / INT8 mix); KV fp8_ds_mla (1) ·
Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) (1) ·
Mixed INT4 AutoRound (Minachist/Qwen3.8-Flash-Next-INT4-Mixed-AutoRound, about 65 GB) with the full BF16 PLE table on NVMe (1) ·
NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin (1) ·
W4A16 (INT4 weights, Marlin kernels) (1)
Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) (1) ·
Morrowmake/vllm-cmp170hx image with patch files mounted read-only (1) ·
Project Maya (Strata and llama.cpp lineage) (1) ·
vLLM (1) ·
vLLM (build not stated) (1) ·
vLLM 0.29.1rc1 nightly plus the checkpoint author's patches (1)
https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 (1) ·
https://github.com/ElectroHobo/mimo-v26-flash-cmp170hx-recipe (1) ·
https://github.com/ElectroHobo/qwen38-flash-next-3bpw-1x-cmp170hx-recipe (1) ·
https://github.com/mw00/project-maya#how-fast-is-it (1) ·
https://www.bozocentral.com/2x-cmp170hx-qwen3-flash-next (1) ·
https://www.reddit.com/r/LocalLLM/comments/1w2f03e/qwen3827b_w4a16_on_one_64_gb_cmp_170hx_16070/ (1)
Showing below up to 6 results in range #1 to #6.


