Ornith 1.5 9B is a 9.65B-parameter model. At Q4_K_M it needs about 6.5 GB of memory. The NVIDIA RTX 4090 24GB has 22 GB usable, so it fits entirely in memory. Expect about 54 tokens/sec (46–62), 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 | 5.8 GB | Fits | 54 tok/s | 0.3 s | Projected |
| Q8_0 | 9.8 GB | Fits | 32 tok/s | 0.3 s | Projected |
| FP16 | 19.3 GB | Fits | 16 tok/s | 0.3 s | Projected |
All models on the NVIDIA RTX 4090 24GB · Ornith 1.5 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.