Model benchmarks
Ornith-1.0-35B-MTPLX local LLM performance
As of August 2026, Ornith-1.0-35B-MTPLX runs at up to 124.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
oMLX
Model size
35B
Peak speed
124.0 tok/s
Average speed
104.5 tok/s
Min memory
n/a
Max context
7,515 tokens
Best quality
90.7
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Ornith-1.0-35B-MTPLX has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 124.0 tok/s | 104.5 tok/s | n/a | 7,515 tokens | 78.5 | 2 |
Frequently asked questions
- How fast is Ornith-1.0-35B-MTPLX for local inference?
- Across 2 community benchmark runs, Ornith-1.0-35B-MTPLX reaches up to 124.0 tok/s and averages 104.5 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Ornith-1.0-35B-MTPLX need?
- The leanest observed configuration used about n/a of memory.
- Which tools have been used to run Ornith-1.0-35B-MTPLX?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.