Model benchmarks
unsloth/Ornith-1.0-9B-GGUF local LLM performance
As of September 2026, unsloth/Ornith-1.0-9B-GGUF runs at up to 67.4 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
9B
Peak speed
67.4 tok/s
Average speed
62.2 tok/s
Avg PP
1255.3 tok/s
Min memory
4.4 GB
Max context
262.144 tokens
Avg output / run
12.281 tokens
Avg runtime / run
3m 22s
Avg quality
74.7
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 | 72.9 | 74.7 | 76.9 |
| Agent Workflow | 80.1 | 80.4 | 80.6 |
| Code Generation | 53.4 | 61.5 | 68.6 |
| Role Play & Narrative | 72.7 | 78.6 | 82.3 |
| Research & Analysis | 70.8 | 78.4 | 82.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/Ornith-1.0-9B-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 | UD-Q4_K_XL | 67.4 tok/s | 63.3 tok/s | 12.0 GB | 32.768 tokens | 75.7 | 2 |
| NVIDIA GeForce RTX 4070 | llama.cpp | — | 60.1 tok/s | 60.1 tok/s | 4.4 GB | 262.144 tokens | 72.7 | 1 |
Benchmark runs
All 3 unsloth/Ornith-1.0-9B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/Ornith-1.0-9B-GGUF good for coding?
- In our benchmarks, unsloth/Ornith-1.0-9B-GGUF scores 61.5/100 for coding. It runs at about 62.2 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 unsloth/Ornith-1.0-9B-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/Ornith-1.0-9B-GGUF scores 80.4/100 for agentic workflows. It runs at about 62.2 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is unsloth/Ornith-1.0-9B-GGUF for local inference?
- Across 3 community benchmark runs, unsloth/Ornith-1.0-9B-GGUF reaches up to 67.4 tok/s and averages 62.2 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- How much memory does unsloth/Ornith-1.0-9B-GGUF need?
- The leanest observed configuration used about 4.4 GB of memory (quantizations tested: UD-Q4_K_XL).
- Which tools have been used to run unsloth/Ornith-1.0-9B-GGUF?
- Benchmarks were submitted using Unsloth Studio, llama.cpp. Results are community-contributed and updated as new runs arrive.