Can the Intel Arc B580 run gpt-oss 20B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. gpt-oss 20B fits on the Intel Arc B580 at Q3_K_M, which costs noticeable quality. Expect about 155 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default gpt-oss:20b download is Q4_K_M, which needs about 13.5 GB, more than the 12 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 Intel Arc B580
Run it in the cloud
Want full quality? Run gpt-oss 20B on a bigger rented GPU.
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Memory needed by quantization
At 8,192 tokens of context. The black line marks the 12 GB the Intel Arc B580 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 42.6 GB | Too big | — | |
| Q8_0 | Near-lossless | 23 GB | Too big | — | |
| Q6_K | Excellent | 17.9 GB | Too big | — | |
| Q5_K_M | Very good | 15.7 GB | Too big | — | |
| Q4_K_M | Good, most popular | 13.5 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 11 GB | Fits | ~155 tok/s | |
| Q2_K | Heavily degraded | 8.6 GB | Fits | ~203 tok/s |
Measured speed from real Intel Arc B580 owners
Tokens per second that people measured on their own Intel Arc B580, next to our estimate.
No one has measured gpt-oss 20B on the Intel Arc B580 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an Intel Arc B580? Add your real speed
One command times gpt-oss 20B 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 -- gpt-oss:20bWindows (PowerShell)
$env:GPUFIT_MODEL="gpt-oss:20b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run gpt-oss 20B comfortably
Frequently asked questions
Can Intel Arc B580 run gpt-oss 20B?
Only just. gpt-oss 20B fits on the Intel Arc B580 at Q3_K_M, which costs noticeable quality. Expect about 155 tokens/second. A card with more memory is a better experience.
How much VRAM does gpt-oss 20B need?
About 13.5 GB at Q4_K_M with 8,192 tokens of context, and about 42.6 GB at full FP16 precision.
How fast is gpt-oss 20B on the Intel Arc B580?
Roughly 155 tokens per second at Q3_K_M, estimated from the Intel Arc B580's 456 GB/s memory bandwidth.