llamaperf

Qwen3.8 27B

on NVIDIA RTX 5060 Ti 16GB · llama-tierkv · 8,192 ctx

NVIDIA hardware
Oct 3, 2026
Throughput
63.7 t/s gen · 680-850 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
IQ4_XS (GGUF)
KV cache
Q4_0
System RAM
32 GB
VRAM reported
16 GB

Use cases

coding

Summary

User reports Qwen3.8 27B at 63.7 tok/s decode on an RTX 5060 Ti 16GB, using MTP-5 speculative decoding at 8K context. Setup is llama-tierkv (a llama.cpp fork) with IQ4_XS weights and a Q4_0 KV cache kept in three tiers (VRAM, RAM, SSD); the weights are on the GPU. Without speculation the same configuration decodes at 25.7 tok/s, and prefill is 680-850 tok/s. At 256K context without speculation, decode is 22.70 tok/s.