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Recipe > decode tps:
110-160 
& source :
https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx or
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& source :
https://github.com/Zanooda/deepseek-v4.1-flash-cmp170hx or
Other Use the filters below to narrow your results.
page:
DeepSeek V4.1 Flash heretic on 4x 8 GB (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (CurtisAccelerate TC-MoE) (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) ·
GLM 5.3 Flash on 8x 8 GB (promisezackr PP8 NVFP4 DFlash2) (1) ·
Qwen3.8 Flash Next on 1x 8 GB (iIIusi0n SSD PLE) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (DUFRelic PP2) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (Morrowmake EXL3) (1) ·
Qwen3.8 Flash Next on 4x 8 GB (1)
model:
quant:
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 5.05 bpw; PLE (n-gram) table read from SSD (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 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors (1) ·
LibertAIDAI/GLM-5.3-Flash-NVFP4 (ModelOpt NVFP4, routed experts only, 181 GiB), run through Marlin W4A16 kernels; GLM-5.3-Flash DFlash2 drafter (5 sliding-window layers) (1) ·
Official checkpoint (FP8 dense, FP4 experts); software FP8 on sm_80 (1) ·
Official checkpoint as downloaded: MXFP4 routed experts as Marlin W4A16, MXFP8 dense as Marlin W8A16; KV fp8 (1) ·
W4A16 INT4 g128 with the PLE table repacked INT4 g32: zankich/Qwen3.8-Flash-Next-W4A16-Merlin-INT4PLE-FP8KV; KV BF16 (1)
engine:
Morrowmake/vllm-cmp170hx (bind-mounted sm80 package) plus the author's tensor-core MoE kernels (1) ·
Morrowmake/vllm-cmp170hx (EXL3 path) (1) ·
Morrowmake/vllm-cmp170hx (vLLM fork, container image) (1) ·
vLLM a5a30471 plus a 13-file downstream patch (native Linux AIO PLE reader) (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 (1) ·
vLLM v0.30.0 + zankich INT4-PLE plugin + six hash-guarded patch layers (1) ·
vLLM: official vllm/vllm-openai:glm53-flash image plus promisezackr's 24 patches (SM8x base from 344303947/vllm170hx, pipeline parallel for GLM-5.3-Flash, DFlash2 under PP8) (1) ·
wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) (1)
engine version:
0.29.1rc1.dev402+ga5a30471f.ple1 (1) ·
Deepinfer-SM80, vLLM v0.28.1rc0 base (1) ·
latest-sm80 tag as of 2026-10-16 (1) ·
recipe 1.0.0 (commit d4d1f525), engine a0c57b52 (1) ·
recipe 31318fd; patches 0001-0020 (1) ·
tag qwen38-recipe-1.0.0, engine 18305948ac (1) ·
v0.1.dev20051+g487ecf187 (the image's vLLM); repo commit 90ec72e (1) ·
vLLM v0.30.0 (ced6857a); plugin zankich/vllm v0.29.0z (6609bfef) (1) ·
vllm-cmp170hx 18305948ac; TC-MoE fb9786ec (1)
cards:
topology:
PP2, MTP depth 3 (1) ·
PP8 (VLLM_PP_LAYER_PARTITION=7,5,7,5,7,5,7,2) with DFlash2, 7 draft tokens; PCIe Gen2 x4, no P2P; host 2x Xeon E5-2690 v4, 96 GB DDR4 (1) ·
PP8, partition 5,5,5,5,5,5,5,5 (1) ·
single card (1) ·
TP2 with expert parallel (1) ·
TP4 (1) ·
TP4 with expert parallel, MTP 3 (1) ·
TP4 x PP2, partition 20,20 (1) ·
TP4, peer access off (NCCL_P2P_DISABLE=1), host all-reduce (1)
context:
decode tps:
prefill tps:
vram per card:
64 GB (1) ·
64 GB, --gpu-memory-utilization 0.90 (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, --gpu-memory-utilization 0.90 (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 0.96 (1) ·
about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 (1)
power cap:
driver:
unlock build:
status:
tested by:
tested on:
source: (Click arrow to add another value)
Showing below up to 9 results in range #1 to #9.