Can the Intel Arc B580 run Llama 3.1 8B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The Intel Arc B580 can run Llama 3.1 8B fully in VRAM at Q8_0 (near-lossless), using about 10.2 GB of the 12 GB available, at roughly 32 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Llama 3.1 8B:
ollama run llama3.1:8bOllama's default download is Q4_K_M (about 6.5 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
New to this? Step-by-step setup for the Intel Arc B580
Run it in the cloud
No Intel Arc B580? Run Llama 3.1 8B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
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 | 17.7 GB | Too big | — | |
| Q8_0 | Near-lossless | 10.2 GB | Fits | ~32 tok/s | |
| Q6_K | Excellent | 8.3 GB | Fits | ~42 tok/s | |
| Q5_K_M | Very good | 7.4 GB | Fits | ~48 tok/s | |
| Q4_K_M | Good, most popular | 6.5 GB | Fits | ~56 tok/s | |
| Q3_K_M | Noticeably degraded | 5.6 GB | Fits | ~70 tok/s | |
| Q2_K | Heavily degraded | 4.7 GB | Fits | ~91 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 Llama 3.1 8B 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 Llama 3.1 8B 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 -- llama3.1:8bWindows (PowerShell)
$env:GPUFIT_MODEL="llama3.1:8b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Llama 3.1 8B comfortably
Frequently asked questions
Can Intel Arc B580 run Llama 3.1 8B?
Yes. The Intel Arc B580 can run Llama 3.1 8B fully in VRAM at Q8_0 (near-lossless), using about 10.2 GB of the 12 GB available, at roughly 32 tokens/second.
How much VRAM does Llama 3.1 8B need?
About 6.5 GB at Q4_K_M with 8,192 tokens of context, and about 17.7 GB at full FP16 precision.
How fast is Llama 3.1 8B on the Intel Arc B580?
Roughly 32 tokens per second at Q8_0, estimated from the Intel Arc B580's 456 GB/s memory bandwidth.