Qwen 3.6/3.8 27B is a 27.78B-parameter model. At Q4_K_M it needs about 17.6 GB of memory. The NVIDIA RTX 5090 32GB has 30 GB usable, so it fits entirely in memory. Expect about 43 tokens/sec (16–70), 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 | 16.8 GB | Fits | 43 tok/s | 0.3 s | Derived |
| Q8_0 | 28.6 GB | Fits | 25 tok/s | 0.3 s | Derived |
| FP16 | 53.8 GB | Partial offload | 2.3 tok/s | 1.2 s | Projected |
All models on the NVIDIA RTX 5090 32GB · Qwen 3.6/3.8 27B 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.