NVIDIA · First MLX build 29 May 2026
LocateAnything-3B
MLX
TextVision nvidia-license
A 3.5B parameter vision and text model from NVIDIA, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 3.5B From Hugging Face
- Quantisation
- 8-bit LocateAnything-3B-8bit
- Memory needed
- 7 GB Estimate, unified memory
- Download
- 4.1 GB Weights, estimated
- Downloads
- 179 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 7 GB at 8-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/LocateAnything-3B-8bit --image photo.jpg --prompt "Describe this image"MLX builds
3 on mlx-community| LocateAnything-3B-4bit | 4-bit | 2.6 GB | 5 GB | 150 |
|---|---|---|---|---|
| LocateAnything-3B-8bit | 8-bit | 4.1 GB | 7 GB | 179 |
| LocateAnything-3B-bf16 | bf16 | 7.0 GB | 10 GB | 110 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.