Model benchmarks
Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed local LLM performance
As of October 2026, Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed runs at up to 111.2 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
111.2 tok/s
Average speed
110.7 tok/s
Avg PP
643.8 tok/s
Min memory
13.3 GB
Max context
65,536 tokens
Avg output / run
29,781 tokens
Avg runtime / run
4m 36s
Avg quality
82.0
Benchmark runs
3
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 3 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 78.5 | 82.0 | 85.7 |
| Agent Workflow | 66.3 | 76.2 | 82.1 |
| Code Generation | 75.5 | 78.9 | 84.5 |
| Role Play & Narrative | 82.7 | 85.3 | 88.9 |
| Research & Analysis | 87.2 | 87.8 | 88.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7800 XT | llama.cpp | — | 111.2 tok/s | 110.7 tok/s | 13.3 GB | 65,536 tokens | 82.0 | 3 |
Benchmark runs
All 3 Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed good for agentic (tool-using) tasks?
- In our benchmarks, Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed scores 76.2/100 for agentic workflows. It runs at about 110.7 tok/s, so if you want more speed, Nex-N2.5-mini-MLX-4bit is faster (~137.0 tok/s) and still scores well for agentic workflows (81.2/100).
- How fast is Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed for local inference?
- Across 3 community benchmark runs, Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed reaches up to 111.2 tok/s and averages 110.7 tok/s, with the fastest results on AMD Radeon RX 7800 XT.
- How much memory does Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed need?
- The leanest observed configuration used about 13.3 GB of memory.
- Which tools have been used to run Ornith-1.5-35B-A3B.APEX-I-NanoPlus-ASCII-Condensed?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.