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Run PrivateGPT with IPEX-LLM on Intel GPU

PrivateGPT is a production-ready AI project that allows users to chat over documents, etc.; by integrating it with ipex-llm, users can now easily leverage local LLMs running on Intel GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max).

See the demo of privateGPT running Mistral:7B on Intel Arc A770 below.

You could also click here to watch the demo video.

Table of Contents

Quickstart

1. Install and Start Ollama Service on Intel GPU

Follow the steps in Run Ollama on Intel GPU Guide to install and run Ollama on Intel GPU. Ensure that ollama serve is running correctly and can be accessed through a local URL (e.g., https://127.0.0.1:11434) or a remote URL (e.g., http://your_ip:11434).

We recommend pulling the desired model before proceeding with PrivateGPT. For instance, to pull the Mistral:7B model, you can use the following command:

ollama pull mistral:7b

2. Install PrivateGPT

Download PrivateGPT

You can either clone the repository or download the source zip from github:

git clone https://github.com/zylon-ai/private-gpt

Install Dependencies

Execute the following commands in a terminal to install the dependencies of PrivateGPT:

cd private-gpt
pip install poetry
pip install ffmpy==0.3.1
poetry install --extras "ui llms-ollama embeddings-ollama vector-stores-qdrant"

For more details, refer to the PrivateGPT installation Guide.

3. Start PrivateGPT

Configure PrivateGPT

To configure PrivateGPT to use Ollama for running local LLMs, you should edit the private-gpt/settings-ollama.yaml file. Modify the ollama section by setting the llm_model and embedding_model you wish to use, and updating the api_base and embedding_api_base to direct to your Ollama URL.

Below is an example of how settings-ollama.yaml should look.

image-p1

Note

settings-ollama.yaml is loaded when the Ollama profile is specified in the PGPT_PROFILES environment variable. This can override configurations from the default settings.yaml.

For more information on configuring PrivateGPT, please visit the PrivateGPT Main Concepts page.

Start the service

Please ensure that the Ollama server continues to run in a terminal while you're using the PrivateGPT.

Run below commands to start the service in another terminal:

  • For Linux users:

    export no_proxy=localhost,127.0.0.1
PGPT_PROFILES=ollama make run

    Note:

    Setting PGPT_PROFILES=ollama will load the configuration from settings.yaml and settings-ollama.yaml.

  • For Windows users:

    set no_proxy=localhost,127.0.0.1
set PGPT_PROFILES=ollama
make run

    Note:

    Setting PGPT_PROFILES=ollama will load the configuration from settings.yaml and settings-ollama.yaml.

Upon successful deployment, you will see logs in the terminal similar to the following:

image-p1

Open a browser (if it doesn't open automatically) and navigate to the URL displayed in the terminal. If it shows http://0.0.0.0:8001, you can access it locally via http://127.0.0.1:8001 or remotely via http://your_ip:8001.

4. Using PrivateGPT

Chat with the Model

To chat with the LLM, select the "LLM Chat" option located in the upper left corner of the page. Type your messages at the bottom of the page and click the "Submit" button to receive responses from the model.

image-p1

Chat over Documents (RAG)

To interact with documents, select the "Query Files" option in the upper left corner of the page. Click the "Upload File(s)" button to upload documents. After the documents have been vectorized, you can type your messages at the bottom of the page and click the "Submit" button to receive responses from the model based on the uploaded content.