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Can the Arc B580 run Qwen 3 8B?

You can run Qwen 3 8B locally on a GPU with 8 GB of VRAM at Q4_K_M quantization using a 4k-token context, which needs about 6.0 GB of VRAM. A 12 GB GPU such as the GeForce RTX 3060 12GB or Intel Arc B580 runs the model comfortably, and the full 40k-token context needs about 11.4 GB at Q4_K_M.

Fits comfortably

At Q4_K_M quantization with 16,384 context, the Qwen 3 8B requires approximately 7.82GB of VRAM. The Arc B580 has 12GB available (4.18GB headroom).

VRAM Breakdown

ComponentSize (GB)Source
Model weights (Q4_K_M)4.91calculated
Loading overhead (10%)0.49calculated
KV cache @ 16,384 context2.42calculated
Total required7.82
GPU memory available12vendor_spec
Headroom / shortfall+4.18

Quantization Options

QuantWeights (GB)Total @ 4K (GB)Total @ 32K (GB)Fits Arc B580?
Q4_K_M 4.91 6 10.23 Yes
Q5_K_M 5.84 7.02 11.25 Yes
Q6_K 6.76 8.04 12.27 Yes
Q8_0 8.7 10.17 14.4 Yes
FP16 16.38 18.62 22.85 No

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If It Doesn't Fit: Alternatives

Same GPU, Other Models

Frequently Asked Questions

Can the Qwen 3 8B run on 12GB VRAM?

Yes. At Q4_K_M quantization with 4K context, the Qwen 3 8B needs approximately 7.82GB. Your 12GB of usable memory has 4.18GB headroom.

What is the maximum context length I can use on the Arc B580?

The Qwen 3 8B supports up to 40,960 tokens of context. Larger context increases KV-cache memory requirements. At 4K context the model needs ~7.82GB; at 32K it needs more.

Which quantization should I use with the Arc B580?

Q4_K_M is the recommended starting point — it offers the best speed-to-quality tradeoff. If you have VRAM headroom, Q6_K or Q8_0 improves quality at the cost of speed. FP16 is only for inference servers with ample memory.

How much VRAM does Qwen 3 8B need?

Qwen 3 8B needs about 6.0 GB of VRAM at Q4_K_M with a 4k-token context: roughly 4.91 GB of weights plus 10% loading overhead plus a 0.60 GB KV cache. The full 40,960-token context raises the requirement to about 11.4 GB.

Can an 8 GB GPU run Qwen 3 8B?

Yes. An 8 GB GPU holds Qwen 3 8B at Q4_K_M with a 4k context (about 6.0 GB) and still has room for contexts up to roughly 16k tokens before approaching the limit.

Related Pages

Full Qwen 3 8B fit page · All AI models · Arc B580 specs · VRAM calculator

VRAM figures are calculated from model architecture parameters using established formulas. Benchmark data is measured and cited per row. GPU memory is vendor_spec from manufacturer datasheets.

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