llamaperf

Qwen3.8 27B

on 2× NVIDIA RTX 5070 Ti · llama.cpp · 220,000 ctx

Tone: positiveNVIDIA hardware
Sep 5, 2026
Throughput
115.0 t/s gen
Quant
Q4_K_XL (GGUF)
KV cache
Q8
System RAM
64 GB
VRAM reported
16 GB

Summary

User benchmarks Qwen3.8-27B on dual RTX 5070 Ti 16GB cards. Setup is llama.cpp with the Q4_K_XL quant, MTP3 speculative decoding, and 220k context. The user also tests vLLM and NInfer, and praises llama.cpp for its simplicity and performance.