Drilldown: Recipe
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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) ·
Official checkpoint: dense MXFP8 through an SM80 Marlin W8A16 path, routed experts MXFP4 through W4A16; KV FP8 (1)
Custom SM80 vLLM (patched from public commit 79a7108d9) (1) ·
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) ·
vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts (1)
64 GB, --gpu-memory-utilization 0.95 (1) ·
64 GiB (64,911 MiB usable), GPU_MEMORY_UTILIZATION 0.98 (1) ·
64 GiB; weights PP0 39.48 GiB, PP1 45.53 GiB; --gpu-memory-utilization 0.9 (1) ·
about 62.9 / 62.3 GiB idle, peaks about 64.4 / 63.0 GiB with vision (1) ·
gpu_split 58 GB per CMP, 70 GB on the PRO (1)
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/vektorprime/qwen38-flash-next-pp2 (1) ·
https://github.com/wgkbfcp/deepseek-v4.1-flash-1017-cmp170hx-recipe (1)
Showing below up to 5 results in range #1 to #5.


