llamaperf

Gemma 4 31B

on 2× NVIDIA RTX 5060 Ti 16GB · llama.cpp

Tone: positiveNVIDIA hardware
Oct 17, 2026
Throughput
60.0 t/s gen · 1100.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
QAT

Use cases

rpcreative-writingcoding

Summary

User reports Gemma 4 31B IT QAT at over 60 t/s generation and 1100 t/s prompt processing on dual RTX 5060 Ti 16GB cards. Setup is llama.cpp 0.7.0 with QAT weights, tensor split and MTP enabled across the two cards. Earlier runs on the same setup gave 40 t/s gen and 980 t/s pp, and 17 t/s gen with 970 t/s pp at 32K for Q6_K. Qwen3.8 27B runs at around 70 t/s with MTP and 100 t/s when generating code. The user uses the models for roleplay in SillyTavern.