Lmstudio Community Qwen3 4B Thinking 2507 Mlx 8bit speed on NVIDIA L40 and quantization-level VRAM fit.
NVIDIA L40 meets the minimum VRAM requirement for Q4 inference of Lmstudio Community Qwen3 4B Thinking 2507 Mlx 8bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40 can run Lmstudio Community Qwen3 4B Thinking 2507 Mlx 8bit with Q4 quantization. At approximately 166 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 46GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 48GB | 165.64 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 48GB | 115.95 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 48GB | 62.94 tok/s | ✅ Fits comfortably |
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NVIDIA L40 can run Lmstudio Community Qwen3 4B Thinking 2507 Mlx 8bit at Q4 with an estimated 166 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while NVIDIA L40 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.