Drilldown: Recipe
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AWQ W4A16: wtdcode/Qwen3.8-Flash-Next-AWQ-W4A16 (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 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors (1) ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16; KV BF16 (1) ·
NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin (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) (2) ·
Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) (1) ·
wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) (1)
64 GB (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 0.92 (miner co-resident) (1) ·
64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) (1) ·
about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 (1)
https://discord.com/channels/1518634379604136178/1528826330454429706/1560602001908170753 (1) ·
https://github.com/alanoo81/deepseek-v41-flash-4x-cmp170hx (1) ·
https://github.com/CurtisAccelerate/DeepSeekv41-Flash-1017-EXL3-CMP170HX (1) ·
https://github.com/ElectroHobo/mimo-v26-flash-cmp170hx-recipe (1) ·
https://github.com/Morrowmake/dsv41-flash-cmp170hx-recipe (2)
Showing below up to 6 results in range #1 to #6.


