Qwen3 30B A3B is a 30.53B-parameter mixture-of-experts model (3.3B active per token). At Q4_K_M it needs about 19.3 GB of memory. The NVIDIA RTX 4090 24GB has 22 GB usable, so it fits entirely in memory. Expect about 156 tokens/sec (133–180), with the first token after 0.3 s for a short prompt. This estimate is projected from the hardware specs; no benchmarks exist yet.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 18.6 GB | Fits | 156 tok/s | 0.3 s | Projected |
| Q8_0 | 32.5 GB | Partial offload | 41 tok/s | 1.2 s | Projected |
| FP16 | 61.1 GB | Doesn't fit | Won't run | — | — |
All models on the NVIDIA RTX 4090 24GB · Qwen3 30B A3B on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.