Drilldown: Recipe

GLM 5.3 on 8x 8 GB (Int4-Int8Mix PP8) (1)

GLM-5.3 (full 78-layer, not Flash) (1)

GLM-5.3-Int4-Int8Mix (INT4 / INT8 mix); KV fp8_ds_mla (1)

Morrowmake/vllm-cmp170hx (vLLM fork, container image) · vLLM PR #56201 head (79a7108d) plus the two Deepinfer-SM80 patches and 30 drop-in modules · Custom SM80 vLLM (patched from public commit 79a7108d9) · ExLlamaV3 (patched, pinned) · ExLlamaV3 1.5.4 (built for SM80) with a small OpenAI-compatible server · ExLlamaV3 fork (anoane/exllamav3-anemone) + TabbyAPI fork (anoane/tabbyAPI) · GNmac-lab recipe image 1.2.0 (vLLM with sm_80 patches) plus three patches · Morrowmake/vllm-cmp170hx (bind-mounted sm80 package) plus the author's tensor-core MoE kernels · Morrowmake/vllm-cmp170hx (EXL3 path) · Morrowmake/vllm-cmp170hx (via the glm53-flash-cmp170hx-recipe) · Morrowmake/vllm-cmp170hx branch ampere-glm53 plus fail-closed source patches · Morrowmake/vllm-cmp170hx image (Qwen EXL3 release) with patch files mounted read-only · Morrowmake/vllm-cmp170hx image (tag qwen38-recipe-1.0.0) plus one mounted file (vLLM #58235 vision-sink fix) · Morrowmake/vllm-cmp170hx image with patch files mounted read-only · Project Maya (Strata and llama.cpp lineage) · Project Maya (Strata and llama.cpp lineage, EXL3 loading, DFlash2 drafter) · vLLM · vLLM (build not stated) · vLLM 0.29.1rc1 nightly plus the checkpoint author's patches · vLLM a5a30471 plus a 13-file downstream patch (native Linux AIO PLE reader) · vLLM nightly + PR #53899 (a5530b9) + the repo's patch scripts · vLLM nightly 7d0b4e57 plus the author's pure-Python fork clee/vllm-sm80 (branch q38fn/stack) · vLLM PR #56201 head (79a7108d) plus a 20-patch sm_80 series; image zanooda/vllm-sm80-ds41f:v41-sm80 · vLLM v0.30.0 + zankich INT4-PLE plugin + six hash-guarded patch layers · vLLM with a pinned sm_80 patch stack (built locally from source) · wtdcode/vllm-backport (image lazymio/vllm-backport:latest-sm80) · wtdcode/vllm-backport 3142ded1 plus a two-file patch and two tinybeast PLE plugins (venv, no container) · Other · None

None (1)

8 GB (1)

8 (1)

PP8, TP1 (1)

1,048,576 (1)

25 (1)

None (1)

64 GB · 64 GiB · 64 GiB exposed, --gpu-memory-utilization 0.95 · 64 GiB, --gpu-memory-utilization 0.95 · 64 GB, --gpu-memory-utilization 0.94, TB_TORCH_MEM_CAP_GIB=61.5 · 64 GB, --gpu-memory-utilization 0.95 · 64 GB; weights 35.9 GB per rank (ranks 1-6), 37.6 GB rank 0, 46.3 GB rank 7 · 64 GiB (64,911 MiB usable), GPU_MEMORY_UTILIZATION 0.98 · 64 GiB, --gpu-memory-utilization 0.90 · 64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) · 64 GiB, --gpu-memory-utilization 0.95 (fixed) · 64 GiB, --gpu-memory-utilization 0.96 · 64 GiB, --gpu-memory-utilization 0.97 · 64 GiB, gpu-memory-utilization 0.92 · 64 GiB, GPU_MEMORY_UTILIZATION 0.95 · 64 GiB, GPU_UTIL 0.95 (fixed) · 64 GiB, GPU_UTIL 0.96 at PP8 · 64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) · 64 GiB; weights PP0 39.48 GiB, PP1 45.53 GiB; --gpu-memory-utilization 0.9 · about 58 GiB of 64 GiB (116.6 GiB resident across both) · about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 · about 62.9 / 62.3 GiB idle, peaks about 64.4 / 63.0 GiB with vision · gpu_split 58 GB per CMP, 70 GB on the PRO · Other · None

200 W (1)

None (1)

None (1)

Reported (1)

nathang6866 · voidgiraffe · HalfVulpes · 1a2b3c0967 · 68x0 · alanoo · anoane · c133 · CurtisAccelerate · darkmaniac7 · dufrelic · greencandle9753 · iIIusi0n · kellertreppe123 · matstatman · mrmannyatx · nestaa51 · pcsv. · plean. · reala7096 · shirogeek · vektor_prime · wgkbfcp · ZackO2o · Zanooda · Other · None

October 7, 2026 (1)

https://discord.com/channels/1518634379604136178/1528826330454429706/1557523316120748073 (1)