Drilldown: Recipe

DeepSeek V4.1 Flash on 6x 8 GB (TP6) (1) · GLM 5.3 Flash on 2x 8 GB (ExLlamaV3 layer split) (1) · GLM 5.3 Flash on 2x 8 GB (Project Maya) (1) · GLM 5.3 on 8x 8 GB (vllm-170hx-glm5) (1) · Qwen3.8 Flash Next on 2x 8 GB (vektorprime PP2) (1) · Qwen3.8 Flash Next on 3x 8 GB (clee PP3) (1)

DeepSeek-V4.1-Flash-1017 (1) · GLM-5.3 (full 78-layer DSA MoE, not Flash) (1) · GLM-5.3-Flash (320B MoE, 18B active) (1) · GLM-5.3-Flash (321B in the Maya README) (1) · Qwen3.8-Flash-Next (2)

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) · GLM-5.3-Int4-Int8Mix-AWQ-g64; drafter incoai/GLM-5.3-DFlash2 (1) · Maya-M GGUF (116 GB), every expert in VRAM; Maya-S (96.5 GB) and Maya-S24 (94.7 GB) also reported (1) · Official checkpoint: dense MXFP8 through an SM80 Marlin W8A16 path, routed experts MXFP4 through W4A16; KV FP8 (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)

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 · recipe 0.2.1; engine 18305948ac · 0.1.dev1+ga5530b90c.d20260829 · 0.29.1rc1.dev402+ga5a30471f.ple1 · Deepinfer-SM80 2a828fc lineage; vLLM v0.28.1rc0 base · Deepinfer-SM80, vLLM v0.28.1rc0 base · Flun/glm53-flash-cmp170hx-exl3 at 5933112 · GNmac-lab at 2ad5741ab1; image ds41-cmp170hx:1.2.0-fidelity · latest-sm80 tag as of 2026-10-16 · not stated · q38fn/stack on nightly-7d0b4e57 · recipe 0.3.1; engine 18305948ac · recipe 1.0.0 (commit d4d1f525), engine a0c57b52 · recipe 1.0.0, engine a0c57b5237 · recipe 1.2.0 · recipe 1.8.0, engine 819146023f · recipe 31318fd; patches 0001-0020 · reports 0.0.0; patches/public-base-to-runtime.patch (109 files) · tag qwen38-recipe-1.0.0, engine 18305948ac · tag recipe-09 (309ef6d1); TabbyAPI deepseek-v41 (ce250ff) · upstream dev 0f685aa9fd plus 9 patches; repo db01c256 · v1.0.6 (this row) · vLLM 0.30.1rc1, fork commit 378c37b0 · vLLM v0.30.0 (ced6857a); plugin zankich/vllm v0.29.0z (6609bfef) · vllm-backport 3142ded1 · vllm-cmp170hx 18305948ac; TC-MoE fb9786ec · Other

8 GB (6)

2 (3) · 3 (1) · 6 (1) · 8 (1)

engine-managed split with expert tiering across VRAM, RAM and NVMe (1) · layer split (no tensor parallel), no P2P (1) · PP2 with PLE CPU offload (1) · PP3, no P2P (works at PP2 on two cards) (1) · PP8 (also PP9 and PP10), TP1 (1) · TP6 (virtual-head padding), PP1 (1)

None (1) · 1,048,576 (1) · 1,048,576 (YaRN x4) (1) · 1,048,576 per request (1) · 262,144 (1) · 392,960 (profile q8_384k) (1)

40 - 80 (6)

None (3) · 514 (1) · 1,833 (1) · 4,831 (1)

64 GB (1) · 64 GB, --gpu-memory-utilization 0.95 (1) · 64 GiB, gpu-memory-utilization 0.92 (1) · 64 GiB, GPU_UTIL 0.96 at PP8 (1) · 64 GiB; weights PP0 39.48 GiB, PP1 45.53 GiB; --gpu-memory-utilization 0.9 (1) · about 58 GiB of 64 GiB (116.6 GiB resident across both) (1)

None (5) · 170 W (author's 10-card run) (1)

None (6)

None (6)

Proven (3) · Reported (3)

68x0 (1) · c133 (1) · reala7096 (1) · vektor_prime (1) · wgkbfcp (1) · ZackO2o (1)

August 2026 (1) · September 2026 (1) · October 2026 (3)

https://github.com/arvkmr/vllm-170hx-glm5 (1) · https://github.com/clee/qwen3.8-flash-next-3x170hx (1) · https://github.com/Flun/glm53-flash-cmp170hx-exl3 (1) · https://github.com/mw00/project-maya#how-fast-is-it (1) · https://github.com/vektorprime/qwen38-flash-next-pp2 (1) · https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1)