RTX 4090 meets the minimum VRAM requirement for Q4 inference of lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit with Q4 quantization. At approximately 101 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 9GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 15GB | 24GB | 100.80 tok/s | ✅ Fits comfortably |
| Q8 | 31GB | 24GB | 72.83 tok/s | ❌ Not recommended |
| FP16 | 61GB | 24GB | 40.29 tok/s | ❌ Not recommended |