Home / Can I run it? / Llama 3.1 8B / Llama 3.1 8B on an Arc B580

Yes, but it is tight. Llama 3.1 8B at Q8_0 needs about 10.8 GB, and the Intel Arc B580 has 12.0 GB usable at a ~4k context.

Can I run Llama 3.1 8B on an Arc B580?

Llama 3.1 8B at Q8_0 needs about 10.8 GB, and the Intel Arc B580 has 12.0 GB usable. That figure is 12 GB of VRAM on the spec sheet, of which 12.0 GB is usable for weights and cache, at 456 GB/s memory bandwidth. Meta’s widely used 8B instruct model, the default small local chat model for a few years running. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q8_0 Fits, short context only

Memory needed

10.8 GB at Q8_0, ~4k context

Usable VRAM

12.0 GB of 12 GB VRAM

Est. tokens/sec

32–45 estimate

Llama-3.1-8B-Instruct · Intel Arc B580 · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 32–45 tokens/sec at Q8_0. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q8_0, this machine has headroom out to about 8k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Run R1 Distill 7B instead (6.3 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
• Keep context short, close other GPU work, and avoid a higher quant. The VRAM calculator shows how the KV cache grows.
• See the best GPU for this model family and the Llama-3.1-8B-Instruct model page.

Other hardware for Llama 3.1 8B

• Llama 3.1 8B on an RTX 3060 12GBTight
• Llama 3.1 8B on an RTX 3070 TiFits
• Llama 3.1 8B on an RTX 3080Fits
• Llama 3.1 8B on an RTX 4060 Ti 16GBFits
• Llama 3.1 8B on an RTX 4070 Ti SuperFits
• Llama 3.1 8B on an RTX 4090Fits

Other models on an Arc B580

• Qwen3-32B on an Arc B580Won’t fit
• Qwen3-30B-A3B on an Arc B580Won’t fit
• Qwen3.8-27B on an Arc B580Won’t fit
• Gemma 3 27B on an Arc B580Won’t fit
• Gemma 4 31B on an Arc B580Won’t fit
• gpt-oss-20b on an Arc B580Won’t fit