Lmstudio Community Qwen3 4B Thinking 2507 Mlx 4bit speed on RTX 4080 and quantization-level VRAM fit.
RTX 4080 meets the minimum VRAM requirement for Q4 inference of Lmstudio Community Qwen3 4B Thinking 2507 Mlx 4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4080 can run Lmstudio Community Qwen3 4B Thinking 2507 Mlx 4bit with Q4 quantization. At approximately 123 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 16GB | 122.75 tok/s | ✅ Fits comfortably |
| Q8 | 4GB | 16GB | 85.92 tok/s | ✅ Fits comfortably |
| FP16 | 8GB | 16GB | 46.64 tok/s | ✅ Fits comfortably |
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Open RTX 4080 buy links →Use workload-focused recommendations before committing to a purchase.
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Compare prebuilt systems →RTX 4080 can run Lmstudio Community Qwen3 4B Thinking 2507 Mlx 4bit at Q4 with an estimated 123 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while RTX 4080 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.