Can the NVIDIA RTX 3070 run Gemma 4 12B?

RTX 3070 × Gemma 4 12B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M6.8 GB of 8 GB
Weights 5.8 GBKV cache 0.4 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Speed~46tokens per second
Max context144Ktokens that fit at Q3_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Gemma 4 12B fits on the NVIDIA RTX 3070 at Q3_K_M, which costs noticeable quality. Expect about 46 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default gemma4:12b download is Q4_K_M, which needs about 8.3 GB, more than the 8 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 3070

Run it in the cloud

Want full quality? Run Gemma 4 12B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 3070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality24.9 GBToo big—
Q8_0Near-lossless13.7 GBToo big—
Q6_KExcellent10.8 GBToo big—
Q5_K_MVery good9.5 GBToo big—
Q4_K_MGood, most popular8.3 GBToo big—
Q3_K_MNoticeably degraded6.8 GBFits~46 tok/s
Q2_KHeavily degraded5.5 GBFits~60 tok/s

Measured speed from real RTX 3070 owners

Tokens per second that people measured on their own NVIDIA RTX 3070, next to our estimate.

No one has measured Gemma 4 12B on the NVIDIA RTX 3070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3070? Add your real speed

One command times Gemma 4 12B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gemma4:12b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:12b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can NVIDIA RTX 3070 run Gemma 4 12B?

Only just. Gemma 4 12B fits on the NVIDIA RTX 3070 at Q3_K_M, which costs noticeable quality. Expect about 46 tokens/second. A card with more memory is a better experience.

How much VRAM does Gemma 4 12B need?

About 8.3 GB at Q4_K_M with 8,192 tokens of context, and about 24.9 GB at full FP16 precision.

How fast is Gemma 4 12B on the NVIDIA RTX 3070?

Roughly 46 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 3070's 448 GB/s memory bandwidth.