Model benchmarks
ornith:35b local LLM performance
As of July 2026, ornith:35b runs at up to 56.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
OllamaQ4_K_M
Model size
34.7B
Peak speed
56.4 tok/s
Average speed
45.9 tok/s
Min memory
20.9 GB
Max context
5,628 tokens
Best quality
89.9
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination ornith:35b 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | Ollama | Q4_K_M | 56.4 tok/s | 45.9 tok/s | 20.9 GB | 5,628 tokens | 72.8 | 2 |
Frequently asked questions
- How fast is ornith:35b for local inference?
- Across 2 community benchmark runs, ornith:35b reaches up to 56.4 tok/s and averages 45.9 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does ornith:35b need?
- The leanest observed configuration used about 20.9 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run ornith:35b?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.