This is a simple HTTP API for the Llama 2 LLM. It is compatible with the ChatGPT API, so you should be able to use it with any application that supports the ChatGPT API, by changing the API URL to http://localhost:5000/chat.
After installing Llama 2 from the official repo, clone this repository into the Llama repo or just copy api.py from this repo to the root of the Llama repo.
You can also install this repo directly with pip install -e . which will also install Flask and Llama. Then you just need to copy your Llama checkpoint directories into the root of this repo, named llama-2-[MODEL], for example llama-2-7b-chat.
Then just run the API:
$ ./api.py --model 7b-chatAfter that, you will have a Llama 2 API running at http://localhost:5000/chat
To allow access from the public, use the command:
$ ./api.py --host 0.0.0.0You can also specify a --port and other command line arguments (see --help)
If your checkpoint directory is not in the standard location, you can use the --ckpt_dir flag to set the correct path:
$ ./api.py --ckpt_dir /path/to/modelThis is a very simple implementation and doesn't support all the same features as the ChatGPT API (token usage calculation, streaming, function calling etc.)
If the API is called with streaming=true, it will respond with a single event with the whole response.
The API does not require any authentication.