llama-web

LLaMa Web

The LLaMa Web is a web interface to chat or play with LLaMa based models.

Installation

Requirements

• NodeJS 18
• Yarn
• MongoDB (for saving chats)
• llama.cpp
• Keycloak server (for authentication / OPTIONAL)

Building

cd client && pnpm install --frozen-lockfile && pnpm build
cd ..
cd api && yarn install --frozen-lockfile && yarn build

Configuration

Copy the example.env file from the both folder to .env and edit it.

cp client/example.env client/.env && nano client/.env
cp api/example.env api/.env && nano api/.env

Running

In the both folder run the following command:

yarn start

Running with Docker

Requirements

• Docker
• Docker Compose
• Download docker-compose.yml file

Configuration

Edit the docker-compose.yml file and change the environment variables.

However, you can’t change the DB, LLAMA_PATH and LLAMA_EMBEDDING_PATH variables.

If you don’t want to use Keycloak, you can enable the SKIP_AUTH variable, by setting it to true in client AND api.

Running

docker-compose up -d

Adding a model

[!NOTE] We assume you want to use TheBloke/Llama-2-7B-Chat-GGUF. Good to know: This project is tested by using TheBloke’s GGUF model.

[!NOTE] On Docker or without docker, the steps are the same.

1. Go to the playground
2. Then go to the Models tab
3. Click on Install a new model
4. Enter the name of the model (e.g. llama-2-7b-chat)
5. Enter the download link (e.g. https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q4_K_M.gguf)
6. Enter the model chat template (can be found here)
7. Click on Install the new model
8. Wait until the model is installed, you can refresh the page to see when it is done.

Use alternative compute backend

[!WARNING] Built-in models management is not supported when using an alternative compute backend. You have to edit the alternative backend directly to support the model you want to use. No support will be provided for this. It is possible to use the built-in models management and the alternative compute backend at the same time.

[!NOTE] You can disable alternative compute backend by setting ALLOW_ALTERNATIVE_COMPUTE_BACKEND to false in the api .env file.

Requirements

• a server that can run an app similar to examples/alt-backend/mixtral8x7B.py

Setup in LLaMa Web

1. Go to the playground
2. Then go to the Models tab
3. Click on Install a new model
4. Enter the name of the model (e.g. llama-2-7b-chat)
5. Press on Use alternative compute backend
6. Enter the compute backend url (e.g. https://my-alternative-compute-backend.domain.com)
7. Press on Add the alternative backend model

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