8-bit Open on Hugging Face
Parameters
35B
Weights (est.)
≈ 37.7 GB
Mac memory (est.)
48 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/Ornith-1.0-35B-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- ornith-ai/Ornith-1.0-35B (quantized)
- Vendor
- ornith-ai
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- mit
- Downloads
- 88 in the last 30 days · 12K all time · 9 likes
- Published
- 2026-06-27 · updated 2026-06-27 (4mo ago)
- Tags
- qwen3_5_moe, mlx-vlm, quantized
Other MLX builds of ornith-ai/Ornith-1.0-35B
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| Ornith-1.0-35B-3bit | 3-bit | ≈ 16.1 GB | 24 GB+ | 49 |
| Ornith-1.0-35B-4bit | 4-bit | ≈ 20.4 GB | 32 GB+ | 376 |
| Ornith-1.0-35B-OptiQ-4bit | 4-bit | ≈ 20.4 GB | 32 GB+ | 119 |
| Ornith-1.0-35B-5bit | 5-bit | ≈ 24.7 GB | 32 GB+ | 41 |
| Ornith-1.0-35B-OptiQ-6bit | 6-bit | ≈ 29.1 GB | 48 GB+ | 90 |
| Ornith-1.0-35B-6bit | 6-bit | ≈ 29.1 GB | 48 GB+ | 49 |
| Ornith-1.0-35B-8bit (this one) | 8-bit | ≈ 37.7 GB | 48 GB+ | 88 |