Model benchmarks
ornith-1.5-35b-a3b-rocmfp4 local LLM performance
As of October 2026, ornith-1.5-35b-a3b-rocmfp4 runs at up to 142.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
142.4 tok/s
Average speed
123.4 tok/s
Avg PP
1658.0 tok/s
Min memory
20.7 GB
Max context
80,000 tokens
Avg output / run
44,351 tokens
Avg runtime / run
9m 47s
Avg quality
62.4
Benchmark runs
2
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 2 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 | 60.1 | 62.4 | 64.7 |
| Agent Workflow | 74.8 | 79.1 | 83.3 |
| Code Generation | 0.0 | 0.0 | 0.0 |
| Role Play & Narrative | 81.5 | 86.2 | 90.9 |
| Research & Analysis | 84.2 | 84.4 | 84.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination ornith-1.5-35b-a3b-rocmfp4 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 7900 XTX | LM Studio | — | 142.4 tok/s | 123.4 tok/s | 20.7 GB | 80,000 tokens | 62.4 | 2 |
Benchmark runs
All 2 ornith-1.5-35b-a3b-rocmfp4 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is ornith-1.5-35b-a3b-rocmfp4 for local inference?
- Across 2 community benchmark runs, ornith-1.5-35b-a3b-rocmfp4 reaches up to 142.4 tok/s and averages 123.4 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does ornith-1.5-35b-a3b-rocmfp4 need?
- The leanest observed configuration used about 20.7 GB of memory.
- Which tools have been used to run ornith-1.5-35b-a3b-rocmfp4?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.