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Can the GeForce RTX 5080 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 4,096 context, the Qwen 3 8B requires approximately 6GB of VRAM. The GeForce RTX 5080 has 16GB available (10GB headroom).

VRAM Breakdown

ComponentSize (GB)Source
Model weights (Q4_K_M)4.91calculated
Loading overhead (10%)0.49calculated
KV cache @ 4,096 context0.6calculated
Total required6
GPU memory available16vendor_spec
Headroom / shortfall+10

Quantization Options

QuantWeights (GB)Total @ 4K (GB)Total @ 32K (GB)Fits GeForce RTX 5080?
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

Measured Speed

94.14 tok/s
llama.cpp llama-bench, CUDA 12.8 · Q4_K_XL · Token generation: 16K context, batch 1, Ubuntu 24.04, on-hardware lab measurement
Tested: 2025-12-09 · Source (Unverified community result, confidence 0.55)

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If It Doesn't Fit: Alternatives

GeForce RTX 5060 8GB VRAM
GeForce RTX 5050 8GB VRAM
GeForce RTX 4060 8GB VRAM
GeForce RTX 3070 8GB VRAM
Radeon RX 7600 8GB VRAM
Arc A750 8GB VRAM

Same GPU, Other Models

Frequently Asked Questions

Can the Qwen 3 8B run on 16GB VRAM?

Yes. At Q4_K_M quantization with 4K context, the Qwen 3 8B needs approximately 6GB. Your 16GB of usable memory has 10GB headroom.

What is the maximum context length I can use on the GeForce RTX 5080?

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 ~6GB; at 32K it needs more.

Which quantization should I use with the GeForce RTX 5080?

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 · GeForce RTX 5080 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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