Can the NVIDIA RTX 4070 Ti Super run Qwen3 Coder 30B-A3B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Qwen3 Coder 30B-A3B fits on the NVIDIA RTX 4070 Ti Super at Q2_K, which costs noticeable quality. Expect about 326 tokens/second. A card with more memory is a better experience.
Run it with Ollama
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.
Run it in the cloud
Want full quality? Run Qwen3 Coder 30B-A3B on a bigger rented GPU.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.
| 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 | Fits | ~326 tok/s |
GPUs that run Qwen3 Coder 30B-A3B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Qwen3 Coder 30B-A3B?
Only just. Qwen3 Coder 30B-A3B fits on the NVIDIA RTX 4070 Ti Super at Q2_K, which costs noticeable quality. Expect about 326 tokens/second. A card with more memory is a better experience.
How much VRAM does Qwen3 Coder 30B-A3B need?
About 19.9 GB at Q4_K_M with 8,192 tokens of context, and about 62.4 GB at full FP16 precision.
How fast is Qwen3 Coder 30B-A3B on the NVIDIA RTX 4070 Ti Super?
Roughly 326 tokens per second at Q2_K, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.