Drilldown: Recipe

DeepSeek V4.1 Flash heretic on 4x 8 GB (1) · DeepSeek V4.1 Flash on 4x 8 GB (alanoo fidelity build) (1) · DeepSeek V4.1 Flash on 4x 8 GB (GNmac) (1) · DeepSeek V4.1 Flash on 4x 8 GB plus RTX PRO 6000 (ExLlamaV3 TP5) (1) · GLM 5.3 Flash on 4x 8 GB (kaka86mm EXL3 + Marlin sidecar + DFlash2) (1) · MiMo V2.6 Flash on 4x 8 GB (1) · Qwen3.8 Flash Next on 1x 8 GB (iIIusi0n SSD PLE) (1) · Qwen3.8 Flash Next on 2x 8 GB (Morrowmake EXL3) (1) · Qwen3.8 Flash Next on 4x 8 GB (1)

DeepSeek-V4.1-Flash-1017 (3) · DeepSeek-V4.1-Flash-1017 heretic (pqhaz abliteration) (1) · GLM-5.3-Flash (320B MoE, 18B active, multimodal) (1) · MiMo-V2.6-Flash-RL (309B MoE, 15B active; text, image, video and audio input) (1) · Qwen3.8-Flash-Next (3)

AutoRound 3 bpw + MTP: klee100/Qwen3.8-Flash-Next-AutoRound-3bpw-MTP; 95.37 GiB BF16 PLE table on SSD (1) · AWQ W4A16: wtdcode/Qwen3.8-Flash-Next-AWQ-W4A16 (1) · EXL3 3.5 bpw (LibertAIDAI; routed experts 4 bpw on layers 0-9 and 30-39, 3 bpw on 10-29; attention and shared experts 6 bpw) plus the official Engram shards (1) · EXL3 4 bpw (Mia-AiLab/GLM-5.3-Flash-EXL3-TR3-4bpw, 164 GB) plus an offline-generated Marlin INT4 decode sidecar (151 GB) (1) · EXL3 5.05 bpw; PLE (n-gram) table read from SSD (1) · Hybrid: all 40 expert layers at 3 bits (LibertAI 2.9 bpw pack with layers 18-22 grafted from the 3.5 bpw pack), official FP8 dense tensors (1) · Hybrid: routed experts EXL3 (mostly 3 bpw, 2 bpw on layers 18-22) from LibertAI's 2.9 bpw pack; attention, shared experts, indexer and DSpark drafter official FP8; 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) · NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin (1)

ExLlamaV3 fork (anoane/exllamav3-anemone) + TabbyAPI fork (anoane/tabbyAPI) (1) · GNmac-lab recipe image 1.2.0 (vLLM with sm_80 patches) plus three patches (1) · Morrowmake/vllm-cmp170hx (EXL3 path) (1) · Morrowmake/vllm-cmp170hx (vLLM fork, container image) (1) · Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) (1) · vLLM a5a30471 plus a 13-file downstream patch (native Linux AIO PLE reader) (1) · vLLM with a pinned sm_80 patch stack (built locally from source) (1) · vLLM: hyd998877/vllm_170hx_glm53-flash-exl3-optimized with kaka86mm's overlay patches; exllamav3 1.4.8 (1) · wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) (1)

0.29.1rc1.dev402+ga5a30471f.ple1 (1) · final production build v30 (numbers measured on v24); repo commit 218b47f (1) · GNmac-lab at 2ad5741ab1; image ds41-cmp170hx:1.2.0-fidelity (1) · latest-sm80 tag as of 2026-10-16 (1) · recipe 0.2.1; engine 18305948ac (1) · recipe 1.0.0 (commit d4d1f525), engine a0c57b52 (1) · recipe 1.2.0 (1) · tag qwen38-recipe-1.0.0, engine 18305948ac (1) · tag recipe-09 (309ef6d1); TabbyAPI deepseek-v41 (ce250ff) (1)

8 GB (9)

1 (1) · 2 (1) · 4 (7)

PP4 (VLLM_PP_LAYER_PARTITION=13,11,11,10), DFlash2 k=7; PCIe Gen2 x4, no P2P (1) · single card (1) · TP2 with expert parallel (1) · TP4 (1) · TP4 (default) or PP4 for x1/x4 links (1) · TP4 (P2P on); expert parallel off (1) · TP4 with expert parallel, MTP 3 (1) · TP4, P2P on (1) · TP5 across four CMP 170HX and one RTX PRO 6000 Blackwell (native backend, reduces through host memory); MTP draft on the PRO (1)

1,000,000 (YaRN x4 from 262,144) (1) · 1,048,576 (1) · 1,048,576 FP16 (1) · 262,144 (3) · 262,144 (up to 1,048,576) (1) · 262,144 advertised (tested through 32K) (1) · 524,288 (1)

90 - 110 (3) · 110 - 300 (6)

2,000 - 2,400 (3) · 2,400 - 2,800 (6)

64 GB (1) · 64 GB, --gpu-memory-utilization 0.93 (0.94 is the ceiling) (1) · 64 GiB (64,911 MiB usable), GPU_MEMORY_UTILIZATION 0.98 (1) · 64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) (1) · 64 GiB, --gpu-memory-utilization 0.95 (1) · 64 GiB, --gpu-memory-utilization 0.96 (1) · 64 GiB, GPU_MEMORY_UTILIZATION 0.95 (1) · 64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) (1) · gpu_split 58 GB per CMP, 70 GB on the PRO (1)

None (3) · 150 W per CMP (PRO 400 W) (1) · 180 W (2) · 180 W (nvidia-smi -pl 180) (1) · 200 W (2)

None (3) · 580 or newer (measured on 610.57.04) (1) · 610.43.03 (1) · 610.43.03 (open modules) (1) · CUDA 13 capable; measured on 610.43.02 (1) · NVIDIA open 610.43.02 from a cmpunlocker fork with a P2P patch (1) · NVIDIA open 610.57.04 patched with Morrowmake/cmpunlocker 1f2c498 (profile 8gb) (1)

None (3) · cmpunlocker (64 GB) (1) · cmpunlocker (64 GiB) (1) · cmpunlocker (64 GiB, 74 SMs) with a P2P-capable build (1) · cmpunlocker (64 GiB, 74 SMs) with a P2P-capable driver for TP4 (1) · cmpunlocker fork with P2P (without Morrowmake's TRAP31 patch) (1) · Morrowmake/cmpunlocker 1f2c498; modprobe RmForceEnableGen2=1, RMPcieLinkSpeed=0x1, ForceP2P=0x11 (1)

Proven (2) · Reported (7)

alanoo (1) · anoane (1) · darkmaniac7 (1) · dkpoulsen (1) · greencandle9753 (1) · iIIusi0n (1) · matstatman (1) · nathang6866 (1) · voidgiraffe (1)

September 19, 2026 (2) · October 16, 2026 (2) · October 18, 2026 (1) · October 20, 2026 (1) · October 26, 2026 (1) · October 27, 2026 (1) · October 29, 2026 (1)

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/344303947/dsv41-flash-pp5-170hx · https://github.com/alanoo81/deepseek-v41-flash-4x-cmp170hx · https://github.com/alexvnesta/glm53-flash-cmp170hx-tp · https://github.com/allover326/deepseek-v4-cmp170hx · 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/kaka86mm/glm53-flash-170hx · 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/nguyenthimy2022kg-alt/Qwen-Flash-SM80-170HX · https://github.com/promisezackr/glm53-flash-170hx-pp8 · https://github.com/tim-odonnell/cmp170hx-deepseek-v4-flash · 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://github.com/zebgop-ops/qwen38-flashnext-pp · 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