Can the NVIDIA RTX 4080 run Qwen3 Coder 30B-A3B?

Yes, with heavy quantization
QuantQ2_KHeavily degraded
Memory12.8 GBof 16 GB
Speed~348tokens/s

Only just. Qwen3 Coder 30B-A3B fits on the NVIDIA RTX 4080 at Q2_K, which costs noticeable quality. Expect about 348 tokens/second. A card with more memory is a better experience.

Try other context lengths in the calculator →
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Memory needed by quantization

At 8,192 tokens of context.

QuantQualityMemoryFits?Speed
FP16Full quality62.4 GBToo big—
Q8_0Near-lossless33.8 GBToo big—
Q6_KExcellent26.4 GBToo big—
Q5_K_MVery good23.1 GBToo big—
Q4_K_MGood, most popular19.9 GBToo big—
Q3_K_MNoticeably degraded16.3 GBToo big—
Q2_KHeavily degraded12.8 GBFits~348 tok/s

How to run Qwen3 Coder 30B-A3B on the NVIDIA RTX 4080

Ollama's default qwen3-coder:30b download is Q4_K_M, which needs about 19.9 GB, more than the 16 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

GPUs that run Qwen3 Coder 30B-A3B comfortably

Check NVIDIA RTX 3090 prices →

Models that run well on the NVIDIA RTX 4080