Drilldown: Recipe
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DeepSeek V4.1 Flash heretic on 4x 8 GB (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (Morrowmake) (1) ·
DeepSeek V4.1 Flash on 6x 8 GB (Deepinfer-SM80 TP2 x PP3) (1) ·
DeepSeek V4.1 Flash on 8x 8 GB (Deepinfer-SM80 TP4 x PP2) (1) ·
MiMo V2.6 Flash on 4x 8 GB (1) ·
Qwen3.8 Flash Next on 1x 8 GB (ElectroHobo 3 bpw) (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 (Qwen-Flash-SM80, GDS TEP2) (1)
DeepSeek-V4.1-Flash-1017 (3) ·
DeepSeek-V4.1-Flash-1017 heretic (pqhaz abliteration) (1) ·
MiMo-V2.6-Flash-RL (309B MoE, 15B active; text, image, video and audio input) (1) ·
Qwen3.8-Flash-Next (2) ·
Qwen3.8-Flash-Next (125B MoE per the recipe) (1) ·
Qwen3.8-Flash-Next (nvidia/Qwen3.8-Flash-Next-NVFP4, revision fc694b54, 11 shards, 132.68 GB) (1) ·
Qwen3.8-Flash-Next-Uncensored (refusal-removed, from orcarouter) (1)
AutoRound mixed 2/3-bit (klee100, 2.998 effective bpw, 47 GiB on card) plus halt95's FP8 n-gram table in host RAM (1) ·
AWQ W4A16 g32 (leoncca/Qwen3.8-Flash-Next-Uncensored-AWQ-g32); PLE table converted to INT4 and served from SSD (1) ·
EXL3 5.05 bpw; PLE (n-gram) table read from SSD (1) ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors (1) ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16; KV BF16 (1) ·
Mixed INT4 AutoRound (Minachist/Qwen3.8-Flash-Next-INT4-Mixed-AutoRound, about 65 GB) with the full BF16 PLE table on NVMe (1) ·
NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin (1) ·
NVFP4 main weights through Marlin (no native FP4 on sm_80), mixed FP8 and BF16 MTP weights, FP8 PLE table (about 51.2 GB) kept on NVMe (1) ·
Official checkpoint (FP8 dense, FP4 experts); software FP8 on sm_80 (2)
None (1) ·
Deepinfer-SM80 2a828fc lineage; vLLM v0.28.1rc0 base (1) ·
Deepinfer-SM80, vLLM v0.28.1rc0 base (1) ·
recipe 0.2.1; engine 18305948ac (2) ·
recipe 1.0.0 (commit d4d1f525), engine a0c57b52 (1) ·
recipe 1.0.0, engine a0c57b5237 (1) ·
tag qwen38-recipe-1.0.0, engine 18305948ac (1) ·
v0.3.0 (commit 4d229f1, 2026-10-14); base vLLM 0.1.dev20073+g8e685d198 (1) ·
vllm-backport 3142ded1 (1)
PP2 (layer partition 25,23), no P2P (1) ·
PP2, MTP 3, no P2P (1) ·
single card (1) ·
TEP2 (TP2 plus expert parallel), MTP 6; one card at PCIe Gen2 x16 (x16 mod), one at Gen2 x4; GPU P2P required (1) ·
TP2 with expert parallel (1) ·
TP2 x PP3, partition 14,14,12 (1) ·
TP4 (1) ·
TP4 (P2P on); expert parallel off (1) ·
TP4 with expert parallel (96 whole experts per card) (1) ·
TP4 x PP2, partition 20,20 (1)
64 GB (1) ·
64 GB, --gpu-memory-utilization 0.93 (v0.3.0) (1) ·
64 GB, --gpu-memory-utilization 0.94, TB_TORCH_MEM_CAP_GIB=61.5 (1) ·
64 GiB (1) ·
64 GiB exposed, --gpu-memory-utilization 0.95 (1) ·
64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) (1) ·
64 GiB, --gpu-memory-utilization 0.95 (2) ·
64 GiB, --gpu-memory-utilization 0.95 (fixed) (1) ·
64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) (1)
None (5) ·
bayley/cmpunlocker 5a7bb4b, sudo ./install.sh --p2p --no-iommu (1) ·
cmpunlocker (64 GiB, 74 SMs) (1) ·
cmpunlocker (64 GiB, 74 SMs) with a P2P-capable build (1) ·
cmpunlocker (64 GiB, 74 SMs); Morrowmake/cmpunlocker for P2P (1) ·
cmpunlocker v0.5+ (sudo ./install.sh --profile=8gb --no-iommu) (1)
https://github.com/ElectroHobo/mimo-v26-flash-cmp170hx-recipe (1) ·
https://github.com/ElectroHobo/qwen38-flash-next-3bpw-1x-cmp170hx-recipe (1) ·
https://github.com/HalfVulpes/Deepinfer-SM80 (2) ·
https://github.com/mannydelrio/qwen38-flash-next-2x-cmp170hx (1) ·
https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe (2) ·
https://github.com/Morrowmake/qwen38-flash-next-cmp170hx-recipe (1) ·
https://github.com/nguyenthimy2022kg-alt/Qwen-Flash-SM80-170HX (1) ·
https://www.bozocentral.com/2x-cmp170hx-qwen3-flash-next (1)
Showing below up to 10 results in range #1 to #10.


