ornith-ai · First MLX build 28 Jun 2026
Ornith-1.0-9B
MLX
Text mit
A 9.4B parameter text generation model from ornith-ai, with 5 MLX builds, from 4-bit to 8-bit.
- Parameters
- 9.4B From Hugging Face
- Quantisation
- 4-bit Ornith-1.0-9B-OptiQ-4bit
- Memory needed
- 9 GB Estimate, unified memory
- Download
- 6.0 GB Weights, estimated
- Downloads
- 301 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 9 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-1.0-9B-OptiQ-4bit --image photo.jpg --prompt "Describe this image"MLX builds
5 on mlx-community| Ornith-1.0-9B-OptiQ-4bit | 4-bit | 6.0 GB | 9 GB | 301 |
|---|---|---|---|---|
| Ornith-1.0-9B-4bit | 4-bit | 6.0 GB | 9 GB | 254 |
| Ornith-1.0-9B-OptiQ-6bit | 6-bit | 7.3 GB | 11 GB | 78 |
| Ornith-1.0-9B-6bit | 6-bit | 8.2 GB | 12 GB | 84 |
| Ornith-1.0-9B-8bit | 8-bit | 10.4 GB | 14 GB | 63 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.