Drilldown: Recipe

DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) · GLM 5.3 Flash on 2x 8 GB (ExLlamaV3 layer split) (1) · GLM 5.3 Flash on 2x 8 GB (ExLlamaV3 TP2) (1) · GLM 5.3 Flash on 2x 8 GB (Project Maya) (1) · Qwen3.8 Flash Next on 2x 8 GB (DUFRelic PP2) (1) · Qwen3.8 Flash Next on 2x 8 GB (ElectroHobo W4A16 TP2) (1) · Qwen3.8 Flash Next on 2x 8 GB (mannydelrio PP2) (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)

DeepSeek-V4.1-Flash-1017 (748B in the Maya README) (1) · GLM-5.3-Flash (320B MoE, 18B active) (2) · GLM-5.3-Flash (321B in the Maya README) (1) · Qwen3.8-Flash-Next (4) · Qwen3.8-Flash-Next (125B MoE per the recipe) (1) · Qwen3.8-Flash-Next-Uncensored (refusal-removed, from orcarouter) (1)

AWQ INT4: cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4; 95 GiB BF16 PLE table in host RAM (FP8 table optional) (1) · AWQ W4A16 g32 (leoncca/Qwen3.8-Flash-Next-Uncensored-AWQ-g32); PLE table converted to INT4 and served from SSD (1) · EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3 (1) · EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3; DFlash2 drafter converted to EXL3 6 bpw (1) · EXL3 5.05 bpw; PLE (n-gram) table read from SSD (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) · W4A16 INT4 g128 with the PLE table repacked INT4 g32: zankich/Qwen3.8-Flash-Next-W4A16-Merlin-INT4PLE-FP8KV; KV BF16 (1) · W4A16: halt95/Qwen3.8-Flash-Next-W4A16-Merlin (AutoRound INT4 g128 experts, INT8 GDN projections, FP8 n-gram table) (1)

ExLlamaV3 (patched, pinned) (1) · ExLlamaV3 1.5.4 (built for SM80) with a small OpenAI-compatible server (1) · Morrowmake/vllm-cmp170hx (EXL3 path) (1) · Morrowmake/vllm-cmp170hx image (Qwen EXL3 release) with patch files mounted read-only (1) · Project Maya (Strata and llama.cpp lineage) (1) · Project Maya (Strata and llama.cpp lineage, EXL3 loading, DFlash2 drafter) (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 v0.30.0 + zankich INT4-PLE plugin + six hash-guarded patch layers (1) · wtdcode/vllm-backport 3142ded1 plus a two-file patch and two tinybeast PLE plugins (venv, no container) (1)

None (2) · 0.1.dev1+ga5530b90c.d20260829 (1) · Flun/glm53-flash-cmp170hx-exl3 at 5933112 (1) · recipe 0.3.1; engine 18305948ac (1) · tag qwen38-recipe-1.0.0, engine 18305948ac (1) · upstream dev 0f685aa9fd plus 9 patches; repo db01c256 (1) · v1.0.6 (this row) (1) · vLLM v0.30.0 (ced6857a); plugin zankich/vllm v0.29.0z (6609bfef) (1) · vllm-backport 3142ded1 (1)

8 GB (10)

2 (10)

engine-managed expert tiering across VRAM, host RAM and NVMe (1) · engine-managed split with expert tiering across VRAM, RAM and NVMe (1) · layer split (no tensor parallel), no P2P (1) · PP2 (layer partition 25,23), no P2P (1) · PP2 with PLE CPU offload (1) · PP2, MTP 3, no P2P (1) · PP2, MTP depth 3 (1) · TP2 over NCCL (GPU P2P), DFlash2 K7 plus hybrid drafting (1) · TP2 with expert parallel (1) · TP2 with whole-expert expert parallel (1)

None (2) · 262,144 (5) · 262,144 (256K in the post) (1) · 392,960 (profile q8_384k) (1) · 392,960 per request; 655,360-token Q8 KV pool shared by two requests (1)

60 - 110 (5) · 110 - 400 (5)

None (3) · 0 - 2,000 (2) · 2,000 - 8,000 (5)

64 GB (3) · 64 GB, --gpu-memory-utilization 0.94, TB_TORCH_MEM_CAP_GIB=61.5 (1) · 64 GiB, --gpu-memory-utilization 0.90 (1) · 64 GiB, --gpu-memory-utilization 0.95 (1) · 64 GiB, GPU_UTIL 0.95 (fixed) (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) · about 62.9 / 62.3 GiB idle, peaks about 64.4 / 63.0 GiB with vision (1)

None (6) · 140 W (200 W observed-draw abort guard) (1) · 180 W (2) · 180 W (author's cards); about 170 W with a modest memory OC in his Discord numbers (1)

None (6) · 580 or newer (measured on 610.57.04); open modules with HMM for the table-on-disk mode (1) · 610.57.04 (1) · NVIDIA 610.43.02 (1) · nvidia-open 610.43.02 + cmpunlocker v0.5 or newer (1)

None (6) · amoghmunikote/cmpunlocker 6c442eeb (patch 0016 SM reconfig, 74 SMs) plus Bayley P2P patches 0011/0013/0015 (1) · cmpunlocker (64 GiB); P2P-capable driver for the NCCL backend (1) · cmpunlocker (64 GiB, 74 SMs) with a P2P-capable build (1) · cmpunlocker v0.5+ (sudo ./install.sh --profile=8gb --no-iommu) (1)

Proven (2) · Reported (8)

68x0 (1) · dufrelic (1) · mrmannyatx (1) · nathang6866 (1) · nestaa51 (1) · pcsv. (1) · plean. (1) · vektor_prime (1) · voidgiraffe (1) · ZackO2o (1)

August 2026 (1) · October 2026 (8)

https://github.com/HalfVulpes/Deepinfer-SM80 · https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe · https://github.com/mw00/project-maya#how-fast-is-it · https://discord.com/channels/1518634379604136178/1518695289278566450/1561743826945843304 · https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 · https://discord.com/channels/1518634379604136178/1528826330454429706/1560602001908170753 · https://github.com/alanoo81/deepseek-v41-flash-4x-cmp170hx · https://github.com/alexvnesta/glm53-flash-cmp170hx-tp · https://github.com/anoane/09-deepseek-v41-flash-1017-exl3-tp5-1m · https://github.com/arvkmr/vllm-170hx-glm5 · https://github.com/clee/qwen3.8-flash-next-3x170hx · https://github.com/CurtisAccelerate/DeepSeekv41-Flash-1017-EXL3-CMP170HX · https://github.com/DUFRelic/qwen38-flash-next-recipe · https://github.com/ElectroHobo/mimo-v26-flash-cmp170hx-recipe · https://github.com/ElectroHobo/qwen38-flash-next-3bpw-1x-cmp170hx-recipe · https://github.com/ElectroHobo/qwen38-flash-next-w4a16-2x-cmp170hx-recipe · https://github.com/Flun/glm53-flash-cmp170hx-exl3 · https://github.com/GNmac-lab/deepseek-v41-flash-1017-cmp170hx · https://github.com/iIIusi0n/qwen3.8-flash-next-cmp170hx · https://github.com/mannydelrio/qwen38-flash-next-2x-cmp170hx · https://github.com/Morrowmake/glm53-flash-cmp170hx-recipe · https://github.com/Morrowmake/qwen38-flash-next-cmp170hx-recipe · https://github.com/vektorprime/qwen38-flash-next-pp2 · https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe · https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx · https://www.bozocentral.com/2x-cmp170hx-qwen3-flash-next · https://www.reddit.com/r/LocalLLM/comments/1w2f03e/qwen3827b_w4a16_on_one_64_gb_cmp_170hx_16070/ · Other · None