Drilldown: Recipe

DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) · DeepSeek V4.1 Flash on 4x 8 GB (CurtisAccelerate TC-MoE) (1) · GLM 5.3 on 8x 8 GB (Int4-Int8Mix PP8) (1) · Qwen3.8 27B on 1x 8 GB (W4A16 vLLM) (1) · Qwen3.8 Flash Next on 2x 8 GB (Plean PP2) (1)

DeepSeek-V4.1-Flash-1017 (1) · DeepSeek-V4.1-Flash-1017 (748B in the Maya README) (1) · GLM-5.3 (full 78-layer, not Flash) (1) · Qwen3.8-27B (dense) (1) · Qwen3.8-Flash-Next (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) · 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) · W4A16 (INT4 weights, Marlin kernels) (1)

Morrowmake/vllm-cmp170hx (bind-mounted sm80 package) plus the author's tensor-core MoE kernels (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)

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 · Other · None

1 (1) · 2 (2) · 4 (1) · 8 (1)

engine-managed expert tiering across VRAM, host RAM and NVMe (1) · PP2, MTP 3, no P2P (1) · PP8, TP1 (1) · single card (1) · TP4, peer access off (NCCL_P2P_DISABLE=1), host all-reduce (1)

None (1) · 1,048,576 (1) · 262,144 (256K in the post) (1) · 262,144 (weights address 1,048,576) (1) · 262,144 native (YaRN to about 500k in the recipe's long variant) (1)

25 (1) · 63 (1) · 144.2 (1) · 170 (1) · 197 (1)

None (3) · 1,523 (1) · 5,800 (1)

64 GB (3) · 64 GiB, --gpu-memory-utilization 0.97 (1) · about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 (1)

None (3) · 140 W (1) · 200 W (1)

None (5)

None (5)

Reported (5)

1a2b3c0967 (1) · CurtisAccelerate (1) · kellertreppe123 (1) · pcsv. (1) · plean. (1)

October 5, 2026 (1) · October 7, 2026 (2) · October 22, 2026 (1) · October 25, 2026 (1)

https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 (1) · https://github.com/CurtisAccelerate/DeepSeekv41-Flash-1017-EXL3-CMP170HX (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)