MLX Community · First MLX build 6 Dec 2024
paligemma2-10b-ft-docci-448
MLX
TextVision gemma
A 9.7B parameter vision and text model, with 2 MLX builds, from 6-bit to bf16.
- Parameters
- 9.7B From Hugging Face
- Quantisation
- bf16 paligemma2-10b-ft-docci-448-bf16
- Memory needed
- 24 GB Estimate, unified memory
- Download
- 19.3 GB Weights, estimated
- Downloads
- 56 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 24 GB at bf16
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/paligemma2-10b-ft-docci-448-bf16 --image photo.jpg --prompt "Describe this image"MLX builds
2 on mlx-community| paligemma2-10b-ft-docci-448-6bit | 6-bit | 7.9 GB | 11 GB | 34 |
|---|---|---|---|---|
| paligemma2-10b-ft-docci-448-bf16 | bf16 | 19.3 GB | 24 GB | 56 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.