Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit speed on RTX 5090 and quantization-level VRAM fit.
RTX 5090 meets the minimum VRAM requirement for Q4 inference of Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 5090 can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit with Q4 quantization. At approximately 375 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 28GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 32GB | 374.71 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 32GB | 262.29 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 32GB | 142.39 tok/s | ✅ Fits comfortably |
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Compare prebuilt systems →RTX 5090 can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit at Q4 with an estimated 375 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while RTX 5090 has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.