Model benchmarks
Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed local LLM performance
As of October 2026, Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed runs at up to 107.2 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
107.2 tok/s
Average speed
106.2 tok/s
Avg PP
696.9 tok/s
Min memory
13.0 GB
Max context
65,536 tokens
Avg output / run
23,718 tokens
Avg runtime / run
3m 50s
Avg quality
69.1
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 | 65.1 | 69.1 | 73.2 |
| Agent Workflow | 17.7 | 31.7 | 45.6 |
| Code Generation | 69.5 | 75.4 | 81.2 |
| Role Play & Narrative | 80.6 | 82.6 | 84.6 |
| Research & Analysis | 85.5 | 87.0 | 88.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination Ornith-1.5-35B-A3B-GSQ-RCO-3bit-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 k8 v4 -1 budget | — | 107.2 tok/s | 107.2 tok/s | 13.0 GB | 65,536 tokens | 64.6 | 1 |
| AMD Radeon RX 7800 XT | llama.cpp | — | 105.3 tok/s | 105.3 tok/s | 13.7 GB | 65,536 tokens | 73.7 | 1 |
Benchmark runs
All 2 Ornith-1.5-35B-A3B-GSQ-RCO-3bit-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-GSQ-RCO-3bit-ASCII-Condensed good for agentic (tool-using) tasks?
- In our benchmarks, Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed scores 31.7/100 for agentic workflows. It runs at about 106.2 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e-MTP is faster (~123.7 tok/s) and still scores well for agentic workflows (84.4/100).
- How fast is Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed for local inference?
- Across 2 community benchmark runs, Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed reaches up to 107.2 tok/s and averages 106.2 tok/s, with the fastest results on AMD Radeon RX 7800 XT.
- How much memory does Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed need?
- The leanest observed configuration used about 13.0 GB of memory.
- Which tools have been used to run Ornith-1.5-35B-A3B-GSQ-RCO-3bit-ASCII-Condensed?
- Benchmarks were submitted using llama.cpp, llama.cpp k8 v4 -1 budget. Results are community-contributed and updated as new runs arrive.