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 5070 Ti 16GB has 15 GB usable, so it only fits with part of the model offloaded to system RAM, which slows it down. Expect about 84 tokens/sec (32–137), with the first token after 1.2 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 | Partial offload | 84 tok/s | 1.2 s | Projected |
| Q8_0 | 32.5 GB | Partial offload | 28 tok/s | 1.2 s | Projected |
| FP16 | 61.1 GB | Doesn't fit | Won't run | — | — |
All models on the NVIDIA RTX 5070 Ti 16GB · 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.