Model benchmarks
protoLabsAI/Ornith-1.5-9B-MTP-GGUF local LLM performance
As of September 2026, protoLabsAI/Ornith-1.5-9B-MTP-GGUF runs at up to 88.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
9B
Peak speed
88.7 tok/s
Average speed
86.2 tok/s
Avg PP
1467.0 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
73,264 tokens
Avg runtime / run
14m 19s
Avg quality
62.9
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 | 57.4 | 62.9 | 68.5 |
| Agent Workflow | 77.0 | 83.7 | 90.4 |
| Code Generation | 0.5 | 4.8 | 9.0 |
| Role Play & Narrative | 69.1 | 78.7 | 88.4 |
| Research & Analysis | 83.1 | 84.6 | 86.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination protoLabsAI/Ornith-1.5-9B-MTP-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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 | Unsloth Studio | Q4_K_M | 88.7 tok/s | 88.7 tok/s | n/a | 65,536 tokens | 56.8 | 1 |
| NVIDIA GeForce RTX 4070 | Unsloth Studio | Q5_K_M | 83.7 tok/s | 83.7 tok/s | n/a | 52,000 tokens | 69.1 | 1 |
Benchmark runs
All 2 protoLabsAI/Ornith-1.5-9B-MTP-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is protoLabsAI/Ornith-1.5-9B-MTP-GGUF good for coding?
- In our benchmarks, protoLabsAI/Ornith-1.5-9B-MTP-GGUF scores 4.8/100 for coding. It runs at about 86.2 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is protoLabsAI/Ornith-1.5-9B-MTP-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, protoLabsAI/Ornith-1.5-9B-MTP-GGUF scores 83.7/100 for agentic workflows. It runs at about 86.2 tok/s, so if you want more speed, Ornith-1.5-35B-A3B-BigBang-oQ8e-mtp is faster (~102.7 tok/s) and still scores well for agentic workflows (91.1/100).
- How fast is protoLabsAI/Ornith-1.5-9B-MTP-GGUF for local inference?
- Across 2 community benchmark runs, protoLabsAI/Ornith-1.5-9B-MTP-GGUF reaches up to 88.7 tok/s and averages 86.2 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- Which tools have been used to run protoLabsAI/Ornith-1.5-9B-MTP-GGUF?
- Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.