Model benchmarks
ornith-1.0-9b local LLM performance
As of July 2026, ornith-1.0-9b runs at up to 62.5 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
LM Studio
Model size
9B
Peak speed
62.5 tok/s
Average speed
60.8 tok/s
Min memory
8.9 GB
Max context
6,020 tokens
Best quality
86.9
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination ornith-1.0-9b has been benchmarked on, ranked by peak token generation speed. Last updated July 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 Ti SUPER | LM Studio | — | 62.5 tok/s | 60.8 tok/s | 8.9 GB | 6,020 tokens | 73.2 | 2 |
Frequently asked questions
- How fast is ornith-1.0-9b for local inference?
- Across 2 community benchmark runs, ornith-1.0-9b reaches up to 62.5 tok/s and averages 60.8 tok/s, with the fastest results on NVIDIA GeForce RTX 4070 Ti SUPER.
- How much memory does ornith-1.0-9b need?
- The leanest observed configuration used about 8.9 GB of memory.
- Which tools have been used to run ornith-1.0-9b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.