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Can the Intel Arc A770 16GB run Gemma 4 31B?

Intel Arc A770 16GB × Gemma 4 31B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K13.5 GB of 16 GB
Weights 11.7 GBKV cache 1.2 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~29tokens per second
Max context66Ktokens that fit at Q2_K
  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 31B fits on the Intel Arc A770 16GB at Q2_K, which costs noticeable quality. Expect about 29 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default gemma4:31b download is Q4_K_M, which needs about 20.8 GB, more than the 16 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the Intel Arc A770 16GB

Run it in the cloud

Want full quality? Run Gemma 4 31B on a bigger rented GPU.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the Intel Arc A770 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality64.4 GBToo big—
Q8_0Near-lossless35 GBToo big—
Q6_KExcellent27.4 GBToo big—
Q5_K_MVery good24 GBToo big—
Q4_K_MGood, most popular20.8 GBToo big—
Q3_K_MNoticeably degraded17.1 GBToo big—
Q2_KHeavily degraded13.5 GBFits~29 tok/s

Measured speed from real Intel Arc A770 16GB owners

Tokens per second that people measured on their own Intel Arc A770 16GB, next to our estimate.

No one has measured Gemma 4 31B on the Intel Arc A770 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Intel Arc A770 16GB? Add your real speed

One command times Gemma 4 31B 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 -- gemma4:31b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:31b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 4 31B comfortably

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Models that run well on the Intel Arc A770 16GB

Frequently asked questions

Can Intel Arc A770 16GB run Gemma 4 31B?

Only just. Gemma 4 31B fits on the Intel Arc A770 16GB at Q2_K, which costs noticeable quality. Expect about 29 tokens/second. A card with more memory is a better experience.

How much VRAM does Gemma 4 31B need?

About 20.8 GB at Q4_K_M with 8,192 tokens of context, and about 64.4 GB at full FP16 precision.

How fast is Gemma 4 31B on the Intel Arc A770 16GB?

Roughly 29 tokens per second at Q2_K, estimated from the Intel Arc A770 16GB's 560 GB/s memory bandwidth.