Comment Comment by simonw I think the best way to try this out is with LLaVA, the text+image model (like GPT-4 Vision). Here are steps to do that on macOS (which should work the same on other platforms too, I haven't tried that yet though):1. Download the 4.26GB llamafile-server-0.1-llava-v1.5-7b-q4 file from https://huggingface.co/jartine/llava-v1.5-7B-GGUF/blob/main/...: wget https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/llamafile-server-0.1-llava-v1.5-7b-q4 2. Make that binary executable, by running this in a terminal: chmod 755 llamafile-server-0.1-llava-v1.5-7b-q4 3. Run your new executable, which will start a web server on port 8080: ./llamafile-server-0.1-llava-v1.5-7b-q4 4. Navigate to http://127.0.0.1:8080/ to upload an image and start chatting with the model about it in your browser.Screenshot here: https://simonwillison.net/2023/Nov/29/llamafile/ parent simonw 2 years ago
1. Download the 4.26GB llamafile-server-0.1-llava-v1.5-7b-q4 file from https://huggingface.co/jartine/llava-v1.5-7B-GGUF/blob/main/...:
2. Make that binary executable, by running this in a terminal: 3. Run your new executable, which will start a web server on port 8080: 4. Navigate to http://127.0.0.1:8080/ to upload an image and start chatting with the model about it in your browser.Screenshot here: https://simonwillison.net/2023/Nov/29/llamafile/