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Model Support

This document describes how to support a new model in FastChat.

Content

Local Models

To support a new local model in FastChat, you need to correctly handle its prompt template and model loading. The goal is to make the following command run with the correct prompts.

python3 -m fastchat.serve.cli --model [YOUR_MODEL_PATH]

You can run this example command to learn the code logic.

python3 -m fastchat.serve.cli --model lmsys/vicuna-7b-v1.5

You can add --debug to see the actual prompt sent to the model.

Steps

FastChat uses the Conversation class to handle prompt templates and BaseModelAdapter class to handle model loading.

  1. Implement a conversation template for the new model at fastchat/conversation.py. You can follow existing examples and use register_conv_template to add a new one. Please also add a link to the official reference code if possible.
  2. Implement a model adapter for the new model at fastchat/model/model_adapter.py. You can follow existing examples and use register_model_adapter to add a new one.
  3. (Optional) add the model name to the "Supported models" section above and add more information in fastchat/model/model_registry.py.

After these steps, the new model should be compatible with most FastChat features, such as CLI, web UI, model worker, and OpenAI-compatible API server. Please do some testing with these features as well.

Supported models

API-Based Models

  1. Implement an API-based streaming generator in fastchat/serve/api_provider.py. You can learn from the OpenAI example.
  2. Specify your endpoint info in a JSON configuration file
{
  "gpt-3.5-turbo-0613": {
    "model_name": "gpt-3.5-turbo-0613",
    "api_type": "openai",
    "api_base": "https://api.openai.com/v1",
    "api_key": "sk-******",
    "anony_only": false
  }
}
  • "api_type" can be one of the following: openai, anthropic, gemini, mistral. For you own API, you can add a new type and implement it.
  • "anony_only" means whether to show this model in anonymous mode only.
  1. Launch the gradio web server with argument --register [JSON-file].
python3 -m fastchat.serve.gradio_web_server --controller "" --share --register [JSON-file]

You should be able to chat with your API-based model! Currently, FastChat supports OpenAI, Anthropic, Google Vertex AI, Mistral, and Nvidia NGC.