问题 / #3568
#3568 [Benchmark] RTX 5090 32 GB - Qwen 3.8 Flash Next Coder IQ1_M, 131K ctx, Vision: ~78 tok/s warm decode
open · @ogerly · 0 评论 · 去 GitHub 看
BenchmarksNVIDIA / CUDAModels & quantsWindowsLinux
说明
Data point for the benchmark collection (fits the existing RTX-4090/3070 entries). Hardware: Intel i9-14900KF (16C/32T, AVX2 + AVX-VNNI), RTX 5090 32 GB VRAM, 96 GB RAM, Windows 11 + WSL2, CUDA 13.4, driver 615.78. Model: Qwen 3.8 Flash Next Coder IQ1_M (MoE, Vision ON), context 131072, KV quant int8, MTP draft layer 835 MiB (--spec 4). Engine log (warm): - Expert cache: 11,463 slots = 21.84 GiB VRAM -> 93.3 % of experts resident on GPU; remainder served by 15 CPU workers (8 perf + 4 half-eff cores). - Expert weights in RAM: 23.42 GiB, loaded at 5.49 GiB/s. - KV streaming: 32,768 of 131,072 cells in VRAM, rest in 1.55 GiB pinned RAM. - PCIe probe reported: 36.3 GB/s host->device. - Vision encoder warm in ~0.9 s. - Warning seen: "57 MiB of VRAM free - requests may stall" (map is essentially full; --vram-reserve-mib raised afterwards). Measured decode: 29 tok/s cold (33 tokens), 77.6 tok/s warm (~140 tokens). Prefill is PCIe-bound (weights streamed from the ~29 GB lookup shard on SSD). Note: VRAM is exclusive - with a second local server (e.g. LM Studio holding a model) loaded, throughput drops sharply; we unloaded first.
本站相关内容
相关页面的快捷入口。