Drilldown: Recipe
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page:
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 (CurtisAccelerate TC-MoE) (1) ·
DeepSeek V4.1 Flash on 5x 8 GB (PP5 full residency) (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 Flash on 3x 8 GB (1) ·
GLM 5.3 Flash on 8x 8 GB (promisezackr PP8 NVFP4 DFlash2) (1) ·
GLM 5.3 on 8x 8 GB (Int4-Int8Mix PP8) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (Morrowmake EXL3) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (Plean PP2) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (vektorprime PP2) (1) ·
Qwen3.8 Flash Next on 3x or 4x 8 GB (zebgop-ops FP8 PP) (1) ·
Qwen3.8 Flash Next on 4x 8 GB (1)
model:
DeepSeek-V4.1-Flash (1) ·
DeepSeek-V4.1-Flash-1017 (5) ·
DeepSeek-V4.1-Flash-1017 (748B in the Maya README) (1) ·
DeepSeek-V4.1-Flash-1017 heretic (pqhaz abliteration) (1) ·
GLM-5.3 (full 78-layer, not Flash) (1) ·
GLM-5.3-Flash (1) ·
GLM-5.3-Flash (320B MoE, 18B active) (1) ·
GLM-5.3-Flash (321B in the Maya README) (1) ·
Qwen/Qwen3.8-Flash-Next-FP8 (revision bcd9f01d) (1) ·
Qwen3.8-Flash-Next (4)
quant:
AWQ INT4: cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4; 95 GiB BF16 PLE table in host RAM (FP8 table optional) (1) ·
AWQ W4A16: wtdcode/Qwen3.8-Flash-Next-AWQ-W4A16 (1) ·
EXL3 5.05 bpw; PLE (n-gram) table read from SSD (1) ·
GLM-5.3-Int4-Int8Mix (INT4 / INT8 mix); KV fp8_ds_mla (1) ·
Hybrid: LibertAI EXL3 2.9 bpw routed experts (layers 0-39), official FP8/FP4 for attention, shared experts, head, draft and Engram; KV fp8_ds_mla (1) ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors (1) ·
LibertAIDAI/GLM-5.3-Flash-NVFP4 (ModelOpt NVFP4, routed experts only, 181 GiB), run through Marlin W4A16 kernels; GLM-5.3-Flash DFlash2 drafter (5 sliding-window layers) (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) ·
Mixed INT4 AutoRound (Minachist/Qwen3.8-Flash-Next-INT4-Mixed-AutoRound, about 65 GB) with the full BF16 PLE table on NVMe (1) ·
Official block FP8, about 126 GiB including the about 50 GiB FP8 n-gram (PLE) table, which is served from host RAM; KV cache bf16 (the QSA layers refuse fp8) (1) ·
Official checkpoint (510 GB: MXFP4 routed experts, FP8 dense layers, 203 GB FP8 Engram table); KV cache fp8_ds_mla (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) ·
W4A16, about 4.3 bpw, 163 GiB on disk (1)
engine:
Custom SM80 vLLM (patched from public commit 79a7108d9) (1) ·
Morrowmake/vllm-cmp170hx (bind-mounted sm80 package) plus the author's tensor-core MoE kernels (1) ·
Morrowmake/vllm-cmp170hx (EXL3 path) (1) ·
Morrowmake/vllm-cmp170hx (via the glm53-flash-cmp170hx-recipe) (1) ·
Morrowmake/vllm-cmp170hx (vLLM fork, container image) (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 0.29.1rc1 nightly plus the checkpoint author's patches (1) ·
vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts (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) ·
vLLM: 344303947's fork of wtdcode/vllm-backport (shadow source layer, staged Marlin repack, exact-size Engram pinning) (1) ·
vLLM: official vllm/vllm-openai:glm53-flash image plus promisezackr's 24 patches (SM8x base from 344303947/vllm170hx, pipeline parallel for GLM-5.3-Flash, DFlash2 under PP8) (1) ·
vLLM: the vllm/vllm-openai:qwen38-flash-next image with zebgop-ops patches 0001 to 0016 (never 0008-WITHDRAWN) and three ported files (1) ·
wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) (1)
engine version:
None (3) ·
0.1.dev1+ga5530b90c.d20260829 (1) ·
0.1.dev20073+g8e685d198; repo commit 2f551bb (patch 0016, 2026-10-02) (1) ·
Deepinfer-SM80 2a828fc lineage; vLLM v0.28.1rc0 base (1) ·
Deepinfer-SM80, vLLM v0.28.1rc0 base (1) ·
latest-sm80 tag as of 2026-10-16 (1) ·
not stated (1) ·
recipe 1.0.0 (commit d4d1f525), engine a0c57b52 (1) ·
recipe 31318fd; patches 0001-0020 (1) ·
reports 0.0.0; patches/public-base-to-runtime.patch (109 files) (1) ·
tag qwen38-recipe-1.0.0, engine 18305948ac (1) ·
v0.1.dev20051+g487ecf187 (the image's vLLM); repo commit 90ec72e (1) ·
v0.13.1.dev6, tag v41-pp5-1m-pinmem-20260916 (1) ·
v1.0.6 (this row) (1) ·
vllm-cmp170hx 18305948ac; TC-MoE fb9786ec (1)
cards:
topology:
engine-managed expert tiering across VRAM, host RAM and NVMe (1) ·
engine-managed split with expert tiering across VRAM, RAM and NVMe (1) ·
PP2 with PLE CPU offload (1) ·
PP2, MTP 3, no P2P (1) ·
PP3 (1) ·
PP4, VLLM_PP_LAYER_PARTITION=12,12,12,12, MTP 3, FULL_AND_PIECEWISE CUDA graphs; PCIe Gen2 x4 per card, no P2P. Three cards: PP3 with 16,17,15 or 16,16,16 (1) ·
PP5 with an even 8,8,8,8,8 layer split; the repo's cards are on PCIe Gen2 x16 with no NVLink (1) ·
PP8 (VLLM_PP_LAYER_PARTITION=7,5,7,5,7,5,7,2) with DFlash2, 7 draft tokens; PCIe Gen2 x4, no P2P; host 2x Xeon E5-2690 v4, 96 GB DDR4 (1) ·
PP8, partition 5,5,5,5,5,5,5,5 (1) ·
PP8, TP1 (1) ·
TP2 with expert parallel (1) ·
TP2 x PP3, partition 14,14,12 (1) ·
TP4 (1) ·
TP4 with expert parallel, MTP 3 (1) ·
TP4 x PP2, partition 20,20 (1) ·
TP4, peer access off (NCCL_P2P_DISABLE=1), host all-reduce (1) ·
TP6 (virtual-head padding), PP1 (1)
context:
None (2) ·
1,000,000 (YaRN x4 from 262,144) (1) ·
1,048,576 (5) ·
1,048,576 (KV pool 1,632,827 tokens at utilisation 0.97; an 896K-token prompt passed) (1) ·
1,048,576 (KV pool 6.62M tokens at utilization 0.90, about 6.3 concurrent 1M requests) (1) ·
262,144 (3) ·
262,144 (256K in the post) (1) ·
262,144 (weights address 1,048,576) (1) ·
262,144 native; 524,288 with YaRN 2.0; 1,048,576 with YaRN 4.0 (needle verified on PP3) (1) ·
about 1,000,000 (8-bit KV cache) (1)
decode tps:
prefill tps:
vram per card:
64 GB (4) ·
64 GB, --gpu-memory-utilization 0.90 (1) ·
64 GB, --gpu-memory-utilization 0.95 (1) ·
64 GB, full residency (no expert offload), --gpu-memory-utilization 0.97 (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 (2) ·
64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) (1) ·
64 GiB, --gpu-memory-utilization 0.95 (2) ·
64 GiB, --gpu-memory-utilization 0.97 (1) ·
64 GiB; --gpu-memory-utilization 0.94 plus per-rank KV budgets; measured 34.0-34.3 GiB per 12-layer rank, 37.9 GiB on the drafter rank (1) ·
64 GiB; weights PP0 39.48 GiB, PP1 45.53 GiB; --gpu-memory-utilization 0.9 (1) ·
about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 (1)
power cap:
driver: (Click arrow to add another value)
unlock build:
status: (Click arrow to add another value)
tested by: (Click arrow to add another value)
tested on:
source:
https://discord.com/channels/1518634379604136178/1518695289278566450/1561743826945843304 (1) ·
https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 (1) ·
https://discord.com/channels/1518634379604136178/1528826330454429706/1560602001908170753 (1) ·
https://github.com/344303947/dsv41-flash-pp5-170hx (1) ·
https://github.com/CurtisAccelerate/DeepSeekv41-Flash-1017-EXL3-CMP170HX (1) ·
https://github.com/HalfVulpes/Deepinfer-SM80 (2) ·
https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe (1) ·
https://github.com/Morrowmake/qwen38-flash-next-cmp170hx-recipe (1) ·
https://github.com/mw00/project-maya#how-fast-is-it (2) ·
https://github.com/promisezackr/glm53-flash-170hx-pp8 (1) ·
https://github.com/vektorprime/qwen38-flash-next-pp2 (1) ·
https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1) ·
https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx (1) ·
https://github.com/zebgop-ops/qwen38-flashnext-pp (1) ·
https://www.bozocentral.com/2x-cmp170hx-qwen3-flash-next (1)
Showing below up to 17 results in range #1 to #17.