Installing and Running GPT Locally with GPU Support

Introduction

• Running GPT models locally on your PC enables data privacy and use of versatile uncensored models.
• Previous speed issues with local GPTs have been resolved with new developments.

Nomic AI's Solution

• Nomic AI released a version of GPT that supports Vulkan GPU interface.
• Compatibility: Works with AMD, Nvidia, and Intel Arc GPUs.
• Demonstrated speed: Over five times faster with GPU support compared to CPU.

Installation and Setup Guide

Step 1: Download and Install

• Locate GPT for All on Nomic AI's Jitta page.
• License: Open source under the MIT license.
• Installer available for various operating systems, including Windows.
• Simple installation process: select directory, accept license, and finish.

Step 2: Configure Settings

• Check and set a suitable download path for model files.
• Configure number of threads and enable GPU (auto setting recommended).

Step 3: Download Models

• Available models include Mistral LLM.
• Example: Download Mistral Open Orca and ensure GPU selection for accelerated performance.

Additional Models

• Uncensored models like Lama 2 available.
• Use Hugging Face to find more models and utilize the GGUF format.

Troubleshooting GPU Support

Key Considerations

• Quantization Format: Only Q4O models currently support GPU acceleration.
• Model Size Limitation: Models larger than 7B may not yet support GPU.

Observations

• Mistral Open Orca with GPU achieved 44 tokens/second performance.
• Attempts with Q8 models defaulted to CPU use.
• Successful GPU use confirmed only with Q4O models despite ReadMe claims of Q6 support.

Conclusion

• Only Q4O models work with GPU; larger model support expected in future updates.
• Feedback encouraged through comments and likes on demonstration videos.

Additional Resources

• Links available in video description for further guidance and documentation.
• Explore additional literature and models on Nomic AI's and Hugging Face platforms.