MLX Community · First MLX build 21 Oct 2025
chandra
MLX
TextVision openrail
A 8.8B parameter vision and text model, with 6 MLX builds, from 3-bit to 5-bit.
- Parameters
- 8.8B From Hugging Face
- Quantisation
- 4-bit chandra-4bit
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 129 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 6 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
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/chandra-4bit --image photo.jpg --prompt "Describe this image"MLX builds
6 on mlx-community| chandra-3bit | 3-bit | 4.7 GB | 8 GB | 14 |
|---|---|---|---|---|
| chandra-bf16 | bf16 | 17.5 GB | 22 GB | 43 |
| chandra-4bit | 4-bit | — | — | 129 |
| chandra-8bit | 8-bit | — | — | 90 |
| chandra-6bit | 6-bit | — | — | 43 |
| chandra-5bit | 5-bit | — | — | 40 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.