llamaperf

Qwen3.8 27B Swift

on 4× NVIDIA RTX 3060 Ti 8GB · vLLM · 150,000 ctx

Tone: positiveNVIDIA hardware
Sep 26, 2026
Throughput
120.0 t/s gen
Quant
W4A16 (safetensors)
KV cache
bf16
VRAM reported
8 GB

Use cases

agenticlong-context

Summary

User reports 120 t/s on Qwen3.8-27B (Swift fine-tune) with a 150k context window on four RTX 3060 Ti 8GB cards. Setup is vLLM with W4A16 weights, bf16 KV cache, tensor parallel across 4 GPUs, and MTP speculative decoding; cards are power-limited to 110W. Quantizing the KV cache to kv8 extends context to the full 262k but drops speed to around 70 t/s. User also reports running 2 concurrent agents with little slowdown, and previously got about 70 t/s on a Swift-Qwen3.8-27B EXL3 4.00bpw model with MTP and 196k context under ExLlamaV3.