llamaperf

Qwen3.6 27B

on NVIDIA RTX 2080 Ti 22GB (modded) · NInfer · 65,536 ctx

Tone: positiveNVIDIA hardware
Oct 30, 2026
Throughput
27.0 t/s gen · 616.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
KV cache
INT8
VRAM reported
22 GB

Use cases

codingvision

Summary

User reports Qwen3.6/3.8-27B decoding at 27.0 tok/s without MTP on a single modded 22 GB RTX 2080 Ti under NInfer v0.3.0 on Windows 11, with prefill of 616 tok/s on a 512-token prompt. Setup uses a 64k context with an INT8 KV cache; the weights take 15.4 GiB and the engine runs entirely in VRAM with no system RAM offloading. MTP speculative decoding is on by default. With MTP, decode reaches 47.5 tok/s on a real code prompt (26.3 without) and 28.8 tok/s on a real prose prompt (26.0 without); prefill on a 64k-token prompt is 458 tok/s. The engine supports only Qwen3.6/3.8-27B, and dropping RTX 5090, FP8, FP4 and 35B-A3B code paths cut the binaries from 1.56 GB to 0.28 GB.