Qwen 3.5 9B is a 9.65B-parameter model. At Q4_K_M it needs about 6.4 GB of memory. The NVIDIA Tesla V100 32GB has 30 GB usable, so it fits entirely in memory. Expect about 69 tokens/sec (33–105), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 5.7 GB | Fits | 69 tok/s | 0.3 s | Derived |
| Q8_0 | 9.5 GB | Fits | 41 tok/s | 0.3 s | Derived |
| FP16 | 17.9 GB | Fits | 22 tok/s | 0.3 s | Derived |
All models on the NVIDIA Tesla V100 32GB · Qwen 3.5 9B 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.