Drilldown: Recipe
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page:
DeepSeek V4.1 Flash on 2x 8 GB (Project Maya) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB (alanoo fidelity build) (1) ·
DeepSeek V4.1 Flash on 4x 8 GB plus RTX PRO 6000 (ExLlamaV3 TP5) (1) ·
GLM 5.3 Flash on 2x 8 GB (ExLlamaV3 TP2) (1) ·
GLM 5.3 Flash on 2x 8 GB (Project Maya) (1) ·
Qwen3.8 Flash Next on 2x 8 GB (vektorprime PP2) (1)
model:
quant:
AWQ INT4: cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4; 95 GiB BF16 PLE table in host RAM (FP8 table optional) (1) ·
EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3; DFlash2 drafter converted to EXL3 6 bpw (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) ·
Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) (1) ·
Maya-M GGUF (116 GB), every expert in VRAM; Maya-S (96.5 GB) and Maya-S24 (94.7 GB) also reported (1)
engine:
ExLlamaV3 (patched, pinned) (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) ·
Project Maya (Strata and llama.cpp lineage) (1) ·
Project Maya (Strata and llama.cpp lineage, EXL3 loading, DFlash2 drafter) (1) ·
vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts (1)
engine version:
cards:
topology:
engine-managed expert tiering across VRAM, host RAM and NVMe (1) ·
engine-managed split with expert tiering across VRAM, RAM and NVMe (1) ·
PP2 with PLE CPU offload (1) ·
TP2 over NCCL (GPU P2P), DFlash2 K7 plus hybrid drafting (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)
context:
decode tps:
vram per card:
power cap:
driver:
unlock build:
status: (Click arrow to add another value)
tested by:
tested on:
source:
https://github.com/alanoo81/deepseek-v41-flash-4x-cmp170hx (1) ·
https://github.com/alexvnesta/glm53-flash-cmp170hx-tp (1) ·
https://github.com/anoane/09-deepseek-v41-flash-1017-exl3-tp5-1m (1) ·
https://github.com/mw00/project-maya#how-fast-is-it (2) ·
https://github.com/vektorprime/qwen38-flash-next-pp2 (1)
Showing below up to 6 results in range #1 to #6.