Spaces:
Running on Zero
Running on Zero
|
Download models/LLaVA/docs/macOS.md from JackAILab/ConsistentID: direct link, hf CLI and curl.
- Browser
- Download file 814 Bytes
-
https://huggingface.co/spaces/JackAILab/ConsistentID/resolve/refs%2Fpr%2F2/models/LLaVA/docs/macOS.md
- Command line
-
hf download hf://spaces/JackAILab/ConsistentID@refs/pr/2/models/LLaVA/docs/macOS.md
-
curl -L -o macOS.md https://huggingface.co/spaces/JackAILab/ConsistentID/resolve/refs%2Fpr%2F2/models/LLaVA/docs/macOS.md
814 Bytes
| # 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! | |