Use GPT4All in Python Code to Manage LLMs Locally

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AI Nuggets

Detailed Instructions from YouTube Video Transcript

Prerequisites

• Operating System: Ubuntu 22.04
• GPU: Nvidia RTX A6000 with 48 GB of VRAM (not required for this tutorial but useful for running multiple LLMs)

Sponsor Acknowledgment

• Sponsor: M compute
• Offer: 50% discount on a range of GPUs
• Coupon Code: (not provided in the transcript)
• Website: (URL not provided in the transcript)

Installation Steps

1. Open a terminal and clear the screen.
2. Create a new conda environment named GPT4all.

   conda create --name GPT4all  

3. Install Jupyter Notebook through conda.

   conda install jupyter  

4. Clear the screen and launch Jupyter Notebook.

   jupyter notebook  

5. Open a new notebook in the browser.

Installing GPT-4all and Dependencies

1. Install gp4all, torch, and Transformers libraries.

   pip install gp4all torch transformers  

Importing and Using GPT-4all

1. Import GPT4all in a new cell.

   import GPT4all  

2. Download and prepare the quantized version of meta Lama 38 billion model.

   # Command to download and prepare the model (exact command not provided in the transcript)  

Inference with GPT-4all

1. Open a chat session and generate output for a prompt.

   with GPT4all.open_chat_session() as session:  
       output = session.generate("Write me 10 sentences about Socrates", max_tokens=1024)  
       print(output)  

2. Generate a response in a different style.

   # Example command to generate a response (exact command not provided in the transcript)  

Working with Embeddings

1. Install nomic library.

   pip install nomic  

2. Import the embed function from nomic.

   from nomic import embed  

3. Use the embeddings to create numerical representations.

   # Example command to create embeddings (exact command not provided in the transcript)  

Additional Resources

• GPT-4all supported models: (URL not provided in the transcript, but mentioned to be available on the GPT-4all website)
• Nomic embedding models: (URL not provided in the transcript, but mentioned to be available on the Nomic website)

Video Creator’s Notes

• Check out the other video on the desktop application of GPT-4all.
• Consider subscribing to the channel and sharing the content.

(Note: Some of the exact commands and URLs were not provided in the transcript. For complete details, viewers are encouraged to refer to the video and its description.)