Can the NVIDIA RTX 4060 run Qwen3 Coder 30B-A3B?
No
No. Even at Q4_K_M, Qwen3 Coder 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 4060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.
Try other context lengths in the calculator →Run it in the cloud
Too big for the NVIDIA RTX 4060? Run Qwen3 Coder 30B-A3B on a rented GPU instead.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.
Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 62.4 GB | Too big | — |
| Q8_0 | Near-lossless | 33.8 GB | Too big | — |
| Q6_K | Excellent | 26.4 GB | Too big | — |
| Q5_K_M | Very good | 23.1 GB | Too big | — |
| Q4_K_M | Good, most popular | 19.9 GB | Too big | — |
| Q3_K_M | Noticeably degraded | 16.3 GB | Too big | — |
| Q2_K | Heavily degraded | 12.8 GB | Too big | — |
How to run Qwen3 Coder 30B-A3B anyway
On a rented cloud GPU with enough memory, the same command you'd use locally works:
ollama run qwen3-coder:30b
At Q4_K_M it needs about 19.9 GB, so pick a GPU with at least 24 GB.
GPUs that run Qwen3 Coder 30B-A3B comfortably
- NVIDIA RTX 3090 (24 GB)
- AMD Radeon RX 7900 XTX (24 GB)
- NVIDIA RTX 4090 (24 GB)
- Apple M2 Pro (32GB)
- NVIDIA RTX 5090 (32 GB)