Ornith-1.0-35B measured on a Mac Studio (M5 Max, 36GB)

Results

Measure	Result	Among measured models	Note
Reply time	about 10.1 s	27 of 30	Until one simple common-sense question is answered (median of 50)
Knowledge (high school to university)	88%	2 of 30	200 questions, ±5
Math (word problems)	88%	3 of 30	100 questions, ±8
Memory used	21.6GB	26 of 30
EN→JA translation	33 pts	10 of 28	out of 100 (chrF), about 19.2 s a sentence
JA→EN translation	57 pts	8 of 28	out of 100 (chrF), about 18.2 s a sentence

"Among measured models" is the place among the 30 models measured on this site (lower is better for time and memory).

Try it on your Mac

Install the Mac version of Ollama from ollama.com and start it.
Type this in Terminal. The first time, the model downloads; then you can chat with it.ollama run hf.co/ornith-ai/Ornith-1.0-35B-GGUF:Q4_K_M

It used 21.6GB here. To use it comfortably alongside other apps, a Mac with 48GB of memory or more is a good guide (the model then takes about half the memory).

About the model

Maker: ornith-ai
Size: 34.7B parameters
Quantization: Q4_K_M
Thinks before answering: Yes
Longest input at once: 262,144 tokens
Released (Hugging Face): Jun 21, 2026
Generation speed: 98.9 tok/s
Start-up (loading): about 1.3 s
Measured on: Sep 27, 2026
Ollama: 0.34.3
Hugging Face: ornith-ai/Ornith-1.0-35B
Series: Ornith

Models of similar memory

Ornith-1.5-35B-A3B (21.8GB of memory, knowledge 82%, reply about 1.9 s)
qwen3.6:35b-a3b (22.3GB of memory, knowledge 88%, reply about 8.8 s)
DeepSeek-R1-Distill-Qwen-32B (22.4GB of memory, knowledge 81%, reply about 16.8 s)
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 (22.7GB of memory, knowledge 77%, reply about 2 s)
glm-4.7-flash:latest (19.5GB of memory, knowledge 77%, reply about 6.3 s)

Compare the main models on the text page. The series page lists every model measured.