llamaperf

Qwen3.8 27B

on NVIDIA RTX 3090 · llama.cpp · 262,144 ctx

NVIDIA hardware
Sep 7, 2026
Throughput
50-65 t/s gen
Quant
Q6_K_XL (GGUF)
KV cache
Q8
System RAM
80 GB
VRAM reported
48 GB

Use cases

agenticcoding

Summary

User reports 50-65 t/s generation on dual RTX 3090, sometimes dropping to 40s. Setup is llama.cpp with the Qwen3.8-27B-UD-Q6_K_XL GGUF, --mmproj for vision, --kv-unified, --flash-attn, and q8_0 KV cache types, plus speculative decoding with draft-mtp. The use case is agentic coding.