Model benchmarks
IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF local LLM performance
As of October 2026, IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF runs at up to 109.8 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
109.8 tok/s
Average speed
104.3 tok/s
Avg PP
836.2 tok/s
Min memory
12.8 GB
Max context
32,768 tokens
Avg output / run
33,820 tokens
Avg runtime / run
5m 31s
Avg quality
82.6
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 | 81.5 | 82.6 | 84.1 |
| Agent Workflow | 77.2 | 83.7 | 87.9 |
| Code Generation | 70.4 | 76.5 | 82.9 |
| Role Play & Narrative | 85.3 | 86.8 | 88.7 |
| Research & Analysis | 80.9 | 83.5 | 86.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF 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 9070/9070 XT/9070 GRE | llama.cpp | — | 109.8 tok/s | 104.3 tok/s | 12.8 GB | 32,768 tokens | 82.6 | 3 |
Benchmark runs
All 3 IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF scores 83.7/100 for agentic workflows. It runs at about 104.3 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 IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF for local inference?
- Across 3 community benchmark runs, IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF reaches up to 109.8 tok/s and averages 104.3 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
- How much memory does IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF need?
- The leanest observed configuration used about 12.8 GB of memory.
- Which tools have been used to run IsValorum/Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.