§01·compatibility · /check

Gemma 4 12B on RTX 4090

Yes — a published step-by-step recipe documents running Gemma 4 12B on the RTX 4090 (24 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.

✓ recipellmactive40 series24GB VRAM

model

name: Gemma 4 12B
slug: gemma-4-12b
vertical: llm
status: active
repo: huggingface.co ↗

open detail ↗

gpu

name: RTX 4090
slug: rtx-4090
vram: 24 GB
series: 40

open detail ↗

§02·benchmarks

No verified benchmarks yet. Be the first to contribute one.

§03·common questions

Can you run Gemma 4 12B on RTX 4090?

Yes — a published step-by-step recipe documents running Gemma 4 12B on the RTX 4090 (24 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.

Are there step-by-step instructions for Gemma 4 12B on RTX 4090?

Yes — a step-by-step recipe documents Gemma 4 12B on the RTX 4090; see the recipes listed below.

§04·related recipes

llmintermediate24GB+
Gemma 4 12B on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)
llmintermediate16GB+
Gemma 4 12B on RX 7800 XT: Local Private Assistant via llama.cpp-HIP / Ollama (ROCm, 16GB)
llmintermediate48GB+
Gemma 4 12B on Apple M3 Max: Local Private Assistant via llama.cpp / Ollama (48GB)
llmintermediate16GB+
Gemma 4 12B on Apple M2 Pro: Local Private Assistant via llama.cpp / Ollama (16GB)
llmintermediate24GB+
Gemma 4 12B on RTX 3090: Local Private Assistant via llama.cpp / Ollama (24GB)

Gemma 4 12B on RTX 4090

Gemma 4 12B on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)

Gemma 4 12B on RX 7800 XT: Local Private Assistant via llama.cpp-HIP / Ollama (ROCm, 16GB)

Gemma 4 12B on Apple M3 Max: Local Private Assistant via llama.cpp / Ollama (48GB)

Gemma 4 12B on Apple M2 Pro: Local Private Assistant via llama.cpp / Ollama (16GB)

Gemma 4 12B on RTX 3090: Local Private Assistant via llama.cpp / Ollama (24GB)