llamaperf

Qwen3.8 27B Swift-1.5

on NVIDIA RTX 5060 Ti 16GB · 100,000 ctx

Tone: positiveNVIDIA hardware
Oct 11, 2026
Throughput
38-60 t/s gen
Quant
GSQ-RCO 3 xxs (GGUF)
KV cache
Q8
VRAM reported
16 GB

Use cases

coding

Summary

User reports Swift-1.5-Qwen3.8-27B-GSQ-RCO 3 xxs running on an RTX 5060 Ti 16GB with 4-step MTP and a 100k context at Q8 KV cache, leaving around 300MB of VRAM free. Performance is about 38-60 t/s, stabilizing around 45-50 t/s on long tasks; without MTP the model runs at 22-30 t/s. User says the quant is faster and better than the previous Swift model, with code quality close to Q4 performance.