Drilldown: Recipe
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DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) ·
DeepSeek V4.1 Flash on 6x 8 GB (Deepinfer-SM80 TP2 x PP3) (1) ·
DeepSeek V4.1 Flash on 6x 8 GB (TP6) (1) ·
DeepSeek V4.1 Flash on 8x 8 GB (Deepinfer-SM80 TP4 x PP2) (1) ·
DeepSeek V4.1 Flash on 8x 8 GB (Zanooda PP8) (1) ·
GLM 5.3 Flash on 2x 8 GB (Project Maya) (1) ·
GLM 5.3 on 8x 8 GB (Int4-Int8Mix PP8) (1) ·
MiMo V2.6 Flash on 4x 8 GB (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) ·
Maya-M GGUF (116 GB), every expert in VRAM; Maya-S (96.5 GB) and Maya-S24 (94.7 GB) also reported (1) ·
NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin (1) ·
Official checkpoint (FP8 dense, FP4 experts); software FP8 on sm_80 (2) ·
Official checkpoint as downloaded: MXFP4 routed experts as Marlin W4A16, MXFP8 dense as Marlin W8A16; KV fp8 (1) ·
Official checkpoint: dense MXFP8 through an SM80 Marlin W8A16 path, routed experts MXFP4 through W4A16; KV FP8 (1)
Custom SM80 vLLM (patched from public commit 79a7108d9) (1) ·
Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) (1) ·
Project Maya (Strata and llama.cpp lineage) (1) ·
Project Maya (Strata and llama.cpp lineage, EXL3 loading, DFlash2 drafter) (1) ·
vLLM (build not stated) (1) ·
vLLM PR #56201 head (79a7108d) plus a 20-patch sm_80 series; image zanooda/vllm-sm80-ds41f:v41-sm80 (1) ·
vLLM PR #56201 head (79a7108d) plus the two Deepinfer-SM80 patches and 30 drop-in modules (2)
engine-managed expert tiering across VRAM, host RAM and NVMe (1) ·
engine-managed split with expert tiering across VRAM, RAM and NVMe (1) ·
PP8, partition 5,5,5,5,5,5,5,5 (1) ·
PP8, TP1 (1) ·
TP2 x PP3, partition 14,14,12 (1) ·
TP4 (P2P on); expert parallel off (1) ·
TP4 x PP2, partition 20,20 (1) ·
TP6 (virtual-head padding), PP1 (1)
64 GB (2) ·
64 GB, --gpu-memory-utilization 0.95 (1) ·
64 GB; weights 35.9 GB per rank (ranks 1-6), 37.6 GB rank 0, 46.3 GB rank 7 (1) ·
64 GiB (1) ·
64 GiB, --gpu-memory-utilization 0.95 (1) ·
64 GiB, --gpu-memory-utilization 0.97 (1) ·
64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) (1)
https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 (1) ·
https://github.com/ElectroHobo/mimo-v26-flash-cmp170hx-recipe (1) ·
https://github.com/HalfVulpes/Deepinfer-SM80 (2) ·
https://github.com/mw00/project-maya#how-fast-is-it (2) ·
https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1) ·
https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx (1)
Showing below up to 8 results in range #1 to #8.


