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| # Run LLaVA on macOS | |
| *NOTE: LLaVA on macOS is not fully supported. Currently we only support 16-bit inference. More functionalities on macOS is to be added soon, stay tuned.* | |
| ## Installation | |
| 1. Clone this repository and navigate to LLaVA folder | |
| ```bash | |
| git clone https://github.com/haotian-liu/LLaVA.git | |
| cd LLaVA | |
| ``` | |
| 2. Install Package | |
| ```Shell | |
| conda create -n llava python=3.10 -y | |
| conda activate llava | |
| python -mpip install --upgrade pip # enable PEP 660 support | |
| pip install -e . | |
| pip install torch==2.1.0 torchvision==0.16.0 | |
| pip uninstall bitsandbytes | |
| ``` | |
| ## Run demo | |
| Specify `--device mps` when launching model worker or CLI. | |
| See instructions [here](https://github.com/haotian-liu/LLaVA#demo). | |
| Note that quantization (4-bit, 8-bit) is *NOT* supported on macOS. Stay tuned for the 4-bit support on macOS! | |