Model benchmarks
ornith-ai/Ornith-1.5-35B-A3B-GGUF local LLM performance
As of September 2026, ornith-ai/Ornith-1.5-35B-A3B-GGUF runs at up to 98.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
98.7 tok/s
Average speed
96.3 tok/s
Avg PP
911.7 tok/s
Min memory
n/a
Max context
131.072 tokens
Avg output / run
54.484 tokens
Avg runtime / run
9m 22s
Avg quality
80.1
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 | 73.4 | 80.1 | 86.8 |
| Agent Workflow | 34.1 | 61.2 | 88.3 |
| Code Generation | 81.2 | 83.4 | 85.7 |
| Role Play & Narrative | 86.3 | 89.7 | 93.1 |
| Research & Analysis | 84.7 | 86.2 | 87.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination ornith-ai/Ornith-1.5-35B-A3B-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XT/7900 XTX/7900M | Unsloth Studio | — | 98.7 tok/s | 96.3 tok/s | n/a | 131.072 tokens | 80.1 | 2 |
Benchmark runs
All 2 ornith-ai/Ornith-1.5-35B-A3B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is ornith-ai/Ornith-1.5-35B-A3B-GGUF good for coding?
- In our benchmarks, ornith-ai/Ornith-1.5-35B-A3B-GGUF scores 83.4/100 for coding. It runs at about 96.3 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is ornith-ai/Ornith-1.5-35B-A3B-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, ornith-ai/Ornith-1.5-35B-A3B-GGUF scores 61.2/100 for agentic workflows. It runs at about 96.3 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is ornith-ai/Ornith-1.5-35B-A3B-GGUF for local inference?
- Across 2 community benchmark runs, ornith-ai/Ornith-1.5-35B-A3B-GGUF reaches up to 98.7 tok/s and averages 96.3 tok/s, with the fastest results on AMD Radeon RX 7900 XT/7900 XTX/7900M.
- How much memory does ornith-ai/Ornith-1.5-35B-A3B-GGUF need?
- The leanest observed configuration used about n/a of memory.
- Which tools have been used to run ornith-ai/Ornith-1.5-35B-A3B-GGUF?
- Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.