Local AI · Recipe · 1× RTX 3090

Gemma 4 31B with beellama.cpp on 1× RTX 3090

Gemma 4 31B with beellama.cpp on 1× RTX 3090: 44.9 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

44.9tok/sEveryday

1 request, prose prompt, with DFlash (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis19with thinkingno thinking 14

Engine

Engine
beellama.cpp (llama.cpp-Fork) v0.3.2-preview
Quantization
GGUF, q5_0/q4_1 KV
Model family
Gemma 4
Context
131,072
Parameters
31B dense
Creator
noonghunna
GitHub stars
2,471
Repo updated
Nov 2, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)44.9 tok/sNarrativ-Prompt (800-Wort-Essay), mean wall TPS; 370 W Source 
  • Peak (decode)79.8 tok/sCode-Prompt (Quicksort), mean wall TPS; 370 W Source 

Prefill by context

What you need

Hardware
1 × NVIDIA RTX 3090
Weights
Engine
beellama.cpp (llama.cpp-Fork) v0.3.2-preview
Context
131,072 tokens

Notes

What matters before you rebuild it.

  • Community, experimental

Sources

Related recipes

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