Lmstudio Community Qwen3 Coder 30B A3b Instruct Mlx 6bit speed on NVIDIA H100 PCIe 80GB and quantization-level VRAM fit.
NVIDIA H100 PCIe 80GB 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.
NVIDIA H100 PCIe 80GB can run Lmstudio Community Qwen3 Coder 30B A3b Instruct Mlx 6bit with Q4 quantization. At approximately 173 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 65GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 15GB | 80GB | 172.84 tok/s | ✅ Fits comfortably |
| Q8 | 30GB | 80GB | 120.99 tok/s | ✅ Fits comfortably |
| FP16 | 60GB | 80GB | 65.68 tok/s | ✅ Fits comfortably |
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NVIDIA H100 PCIe 80GB can run Lmstudio Community Qwen3 Coder 30B A3b Instruct Mlx 6bit at Q4 with an estimated 173 tok/s.
Q4 inference is estimated to need about 15GB VRAM on this page, while NVIDIA H100 PCIe 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.