ornith-ai · First MLX build 27 Jun 2026
Ornith-1.0-35B
MLX
TextVision mit
A 35B parameter vision and text model from ornith-ai, with 7 MLX builds, from 3-bit to 8-bit.
- Parameters
- 35B From Hugging Face
- Quantisation
- 4-bit Ornith-1.0-35B-4bit
- Memory needed
- 25 GB Estimate, unified memory
- Download
- 20.4 GB Weights, estimated
- Downloads
- 218 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 7 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 25 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-vlm$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/Ornith-1.0-35B-4bit --image photo.jpg --prompt "Describe this image"MLX builds
7 on mlx-community| Ornith-1.0-35B-3bit | 3-bit | 16.1 GB | 20 GB | 48 |
|---|---|---|---|---|
| Ornith-1.0-35B-4bit | 4-bit | 20.4 GB | 25 GB | 218 |
| Ornith-1.0-35B-OptiQ-4bit | 4-bit | 20.4 GB | 25 GB | 113 |
| Ornith-1.0-35B-5bit | 5-bit | 24.7 GB | 30 GB | 40 |
| Ornith-1.0-35B-OptiQ-6bit | 6-bit | 29.1 GB | 35 GB | 80 |
| Ornith-1.0-35B-6bit | 6-bit | 29.1 GB | 35 GB | 48 |
| Ornith-1.0-35B-8bit | 8-bit | 37.7 GB | 45 GB | 85 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.