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Drilldown: Recipe

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Recipe > tested by : greencandle9753 or iIIusi0n or pcsv.

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page:
DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) · DeepSeek V4.1 Flash on 4x 8 GB (GNmac) (1) · Qwen3.8 Flash Next on 1x 8 GB (iIIusi0n SSD PLE) (1)
model:
DeepSeek-V4.1-Flash-1017 (1) · DeepSeek-V4.1-Flash-1017 (748B in the Maya README) (1) · Qwen3.8-Flash-Next (1)
quant:
AutoRound 3 bpw + MTP: klee100/Qwen3.8-Flash-Next-AutoRound-3bpw-MTP; 95.37 GiB BF16 PLE table on SSD (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) · Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) (1)
engine:
Project Maya (Strata and llama.cpp lineage) (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)
engine version:
None (1) · 0.29.1rc1.dev402+ga5a30471f.ple1 (1) · recipe 1.2.0 (1)
cards:
8 GB (3)
card count:
1 (1) · 2 (1) · 4 (1)
topology:
engine-managed expert tiering across VRAM, host RAM and NVMe (1) · single card (1) · TP4 (default) or PP4 for x1/x4 links (1)
context:
None (1) · 262,144 (up to 1,048,576) (1) · 262,144 advertised (tested through 32K) (1)
decode tps:
63 (1) · 110.99 (1) · 258 (1)
prefill tps:
None (1) · 2,416 (1) · 2,636 (1)
vram per card:
64 GB (1) · 64 GiB, --gpu-memory-utilization 0.96 (1) · 64 GiB, GPU_MEMORY_UTILIZATION 0.95 (1)
power cap:
None (1) · 180 W (1) · 180 W (nvidia-smi -pl 180) (1)
driver:
None (1) · 610.43.03 (1) · CUDA 13 capable; measured on 610.43.02 (1)
unlock build:
None (1) · cmpunlocker (64 GiB) (1) · cmpunlocker (64 GiB, 74 SMs) with a P2P-capable driver for TP4 (1)
status:
Proven (2) · Reported (1)
tested by: (Click arrow to add another value)
tested on:
September 19, 2026 (1) · October 25, 2026 (1) · October 26, 2026 (1)
source:
https://github.com/GNmac-lab/deepseek-v41-flash-1017-cmp170hx (1) · https://github.com/iIIusi0n/qwen3.8-flash-next-cmp170hx (1) · https://github.com/mw00/project-maya#how-fast-is-it (1)

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