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Recipe > model
:
DeepSeek-V4.1-Flash-1017
or
Qwen3.8-Flash-Next (125B MoE per the recipe)
& cards:
8 GB 
:
DeepSeek-V4.1-Flash-1017
or
Qwen3.8-Flash-Next (125B MoE per the recipe)
& cards:
8 GB 
Use the filters below to narrow your results.
DeepSeek V4.1 Flash on 4x 8 GB (alanoo fidelity build) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (CurtisAccelerate TC-MoE) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (GNmac) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (Morrowmake) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB plus RTX PRO 6000 (ExLlamaV3 TP5) (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) ·
Qwen3.8 Flash Next on 1x 8 GB (ElectroHobo 3 bpw) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (ElectroHobo W4A16 TP2) (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) ·
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) ·
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: 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 (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; KV BF16 (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: halt95/Qwen3.8-Flash-Next-W4A16-Merlin (AutoRound INT4 g128 experts, INT8 GDN projections, FP8 n-gram table) (1)
Custom SM80 vLLM (patched from public commit 79a7108d9) (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 (bind-mounted sm80 package) plus the author's tensor-core MoE kernels (1) ·
Morrowmake/vllm-cmp170hx (vLLM fork, container image) (1) ·
Morrowmake/vllm-cmp170hx image (Qwen EXL3 release) with patch files mounted read-only (1) ·
Morrowmake/vllm-cmp170hx image with patch files mounted read-only (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 with a pinned sm_80 patch stack (built locally from source) (1)
Deepinfer-SM80 2a828fc lineage; vLLM v0.28.1rc0 base (1) ·
Deepinfer-SM80, vLLM v0.28.1rc0 base (1) ·
GNmac-lab at 2ad5741ab1; image ds41-cmp170hx:1.2.0-fidelity (1) ·
recipe 0.2.1; engine 18305948ac (1) ·
recipe 0.3.1; engine 18305948ac (1) ·
recipe 1.0.0, engine a0c57b5237 (1) ·
recipe 1.2.0 (1) ·
recipe 31318fd; patches 0001-0020 (1) ·
reports 0.0.0; patches/public-base-to-runtime.patch (109 files) (1) ·
tag recipe-09 (309ef6d1); TabbyAPI deepseek-v41 (ce250ff) (1) ·
vllm-cmp170hx 18305948ac; TC-MoE fb9786ec (1)
PP8, partition 5,5,5,5,5,5,5,5 (1) ·
single card (1) ·
TP2 with whole-expert expert parallel (1) ·
TP2 x PP3, partition 14,14,12 (1) ·
TP4 (default) or PP4 for x1/x4 links (1) ·
TP4 with expert parallel (96 whole experts per card) (1) ·
TP4 x PP2, partition 20,20 (1) ·
TP4, P2P on (1) ·
TP4, peer access off (NCCL_P2P_DISABLE=1), host all-reduce (1) ·
TP5 across four CMP 170HX and one RTX PRO 6000 Blackwell (native backend, reduces through host memory); MTP draft on the PRO (1) ·
TP6 (virtual-head padding), PP1 (1)
64 GB, --gpu-memory-utilization 0.95 (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 (1) ·
64 GiB (64,911 MiB usable), GPU_MEMORY_UTILIZATION 0.98 (1) ·
64 GiB exposed, --gpu-memory-utilization 0.95 (1) ·
64 GiB, --gpu-memory-utilization 0.95 (1) ·
64 GiB, --gpu-memory-utilization 0.95 (fixed) (1) ·
64 GiB, GPU_MEMORY_UTILIZATION 0.95 (1) ·
64 GiB, GPU_UTIL 0.95 (fixed) (1) ·
about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 (1) ·
gpu_split 58 GB per CMP, 70 GB on the PRO (1)
None (5) ·
580 or newer (measured on 610.57.04) (1) ·
580 or newer (measured on 610.57.04); open modules with HMM for the table-on-disk mode (1) ·
CUDA 13 capable; measured on 610.43.02 (1) ·
NVIDIA 580 or newer; P2P needs the Morrowmake/cmpunlocker build (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 (4) ·
cmpunlocker (64 GiB, 74 SMs) (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 (64 GiB, 74 SMs); Morrowmake/cmpunlocker for P2P (1) ·
cmpunlocker fork with P2P (without Morrowmake's TRAP31 patch) (1) ·
cmpunlocker with the BAR1 P2P patches (64 GiB BAR1 per card) (1) ·
Morrowmake/cmpunlocker 1f2c498; modprobe RmForceEnableGen2=1, RMPcieLinkSpeed=0x1, ForceP2P=0x11 (1)
https://github.com/alanoo81/deepseek-v41-flash-4x-cmp170hx (1) ·
https://github.com/anoane/09-deepseek-v41-flash-1017-exl3-tp5-1m (1) ·
https://github.com/CurtisAccelerate/DeepSeekv41-Flash-1017-EXL3-CMP170HX (1) ·
https://github.com/ElectroHobo/qwen38-flash-next-3bpw-1x-cmp170hx-recipe (1) ·
https://github.com/ElectroHobo/qwen38-flash-next-w4a16-2x-cmp170hx-recipe (1) ·
https://github.com/GNmac-lab/deepseek-v41-flash-1017-cmp170hx (1) ·
https://github.com/HalfVulpes/Deepinfer-SM80 (2) ·
https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe (1) ·
https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1) ·
https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx (1)
Showing below up to 11 results in range #1 to #11.

