Drilldown: Recipe

DeepSeek V4.1 Flash heretic on 4x 8 GB (1) · DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) · DeepSeek V4.1 Flash on 4x 8 GB (Morrowmake) (1) · DeepSeek V4.1 Flash on 6x 8 GB (TP6) (1) · GLM 5.3 Flash on 4x 8 GB (1)

DeepSeek-V4.1-Flash-1017 (2) · DeepSeek-V4.1-Flash-1017 (748B in the Maya README) (1) · DeepSeek-V4.1-Flash-1017 heretic (pqhaz abliteration) (1) · GLM-5.3-Flash (320B MoE, 18B active) (1)

Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors (1) · Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16; KV BF16 (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, group size 128, FP16 activations): canada-quant/GLM-5.3-Flash-W4A16-MTP (1)

Morrowmake/vllm-cmp170hx (vLLM fork, container image) · vLLM PR #56201 head (79a7108d) plus the two Deepinfer-SM80 patches and 30 drop-in modules · Custom SM80 vLLM (patched from public commit 79a7108d9) · ExLlamaV3 (patched, pinned) · ExLlamaV3 1.5.4 (built for SM80) with a small OpenAI-compatible server · ExLlamaV3 fork (anoane/exllamav3-anemone) + TabbyAPI fork (anoane/tabbyAPI) · GNmac-lab recipe image 1.2.0 (vLLM with sm_80 patches) plus three patches · Morrowmake/vllm-cmp170hx (bind-mounted sm80 package) plus the author's tensor-core MoE kernels · Morrowmake/vllm-cmp170hx (EXL3 path) · Morrowmake/vllm-cmp170hx (via the glm53-flash-cmp170hx-recipe) · Morrowmake/vllm-cmp170hx branch ampere-glm53 plus fail-closed source patches · Morrowmake/vllm-cmp170hx image (Qwen EXL3 release) with patch files mounted read-only · Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) · Morrowmake/vllm-cmp170hx image with patch files mounted read-only · Project Maya (Strata and llama.cpp lineage) · Project Maya (Strata and llama.cpp lineage, EXL3 loading, DFlash2 drafter) · vLLM · vLLM (build not stated) · vLLM 0.29.1rc1 nightly plus the checkpoint author's patches · vLLM a5a30471 plus a 13-file downstream patch (native Linux AIO PLE reader) · vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts · vLLM nightly 7d0b4e57 plus the author's pure-Python fork clee/vllm-sm80 (branch q38fn/stack) · vLLM PR #56201 head (79a7108d) plus a 20-patch sm_80 series; image zanooda/vllm-sm80-ds41f:v41-sm80 · vLLM v0.30.0 + zankich INT4-PLE plugin + six hash-guarded patch layers · vLLM with a pinned sm_80 patch stack (built locally from source) · wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) · wtdcode/vllm-backport 3142ded1 plus a two-file patch and two tinybeast PLE plugins (venv, no container) · Other · None

None (1) · recipe 1.0.0 (commit d4d1f525), engine a0c57b52 (1) · recipe 1.0.0, engine a0c57b5237 (1) · recipe 1.8.0, engine 819146023f (1) · reports 0.0.0; patches/public-base-to-runtime.patch (109 files) (1)

8 GB (5)

2 (1) · 4 (3) · 6 (1)

engine-managed expert tiering across VRAM, host RAM and NVMe (1) · TP4 (1) · TP4 (default) or PP4 (1) · TP4 with expert parallel (96 whole experts per card) (1) · TP6 (virtual-head padding), PP1 (1)

None (1) · 1,048,576 (1) · 262,144 (3)

63 (1) · 78.55 (1) · 158 (1) · 287 (1) · 442.1 (1)

None (2) · 2,453 (1) · 3,161 (1) · 3,818 (1)

64 GB (1) · 64 GB, --gpu-memory-utilization 0.95 (1) · 64 GiB exposed, --gpu-memory-utilization 0.95 (2) · 64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) (1)

None (3) · 180 W (2)

None (3) · NVIDIA 580 or newer; P2P needs the Morrowmake/cmpunlocker build (2)

None (3) · cmpunlocker (64 GiB, 74 SMs); Morrowmake/cmpunlocker for P2P (2)

Proven (1) · Reported (4)

darkmaniac7 (1) · pcsv. (1) · voidgiraffe (2) · wgkbfcp (1)

October 16, 2026 (1) · October 19, 2026 (1) · October 24, 2026 (1) · October 25, 2026 (1) · October 29, 2026 (1)

https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe (2) · https://github.com/Morrowmake/glm53-flash-cmp170hx-recipe (1) · https://github.com/mw00/project-maya#how-fast-is-it (1) · https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1)