llamaperf

Qwen3.8 27B

on NVIDIA RTX 5090 · Token Rush · 200,000 ctx

NVIDIA hardware
Oct 8, 2026
Throughput
70.0 t/s gen
Quant
int4g128 (safetensors)
KV cache
FP8
VRAM reported
32 GB

Summary

User reports Token Rush decoding Qwen3.8-27B at 70 tok/s without speculation at 200k tokens of context on one RTX 5090. Setup is Token Rush with int4 GPTQ weights at 4.25 bits per weight and a 128-group scale, FP8 KV cache, speculation off for this figure, one stream, the whole model in VRAM. With DFlash2 speculation the same engine decodes 229 tok/s on essay, 358 on code and 379 on math at short context, and 200-220 tok/s on prose at 200k. The full 256k window fits in 26 GB of VRAM.