How To Run ANY LLM Using Cloud GPU and TextGen WebUI Easily!

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AI Summary

Summary: How to Run Large Language Models Using Hyperstack Cloud GPU

• Introduction to Hyperstack:
  • Hyperstack is a cloud GPU service optimized for performance and cost efficiency.
  • It offers up to 75% savings compared to hyperscalers.
  • Partners with Nvidia, providing access to top-tier GPUs.
• Hyperstack Features:
  • Specializes in GPU acceleration for AI, machine learning, and deep learning.
  • Offers automated software deployment and customizable setups.
  • Nvidia’s Elite cloud service partner focusing on sustainability and cost-effectiveness.
• Getting Started with Hyperstack:
  • Sign up for an account using Gmail or email.
  • Create an environment and select a region.
  • Import or generate an SSH key for secure access to virtual machines.
• Deploying Virtual Machines:
  • Ensure you have credits for operational use.
  • Choose the appropriate GPU based on the large language model’s requirements.
  • Select an image (Windows or Ubuntu) and configure the virtual machine with a public IP and security rules.
• Connecting to the Virtual Machine:
  • Use SSH to connect the virtual machine to your local computer.
  • Enable SSH access in the security rules.
• Installing Large Language Models:
  • Clone the text generation web UI repository from GitHub.
  • Run the installation script and select the GPU variant.
  • Download and load the desired language model from Hugging Face.
• Using the Text Generation Web UI:
  • Interact with the loaded language model through the web UI.
  • Adjust parameters and chat with the model.
• Managing Virtual Machines:
  • Stop the virtual machine when not in use to save credits.
  • Restart it when needed from the virtual machines dashboard.
• Additional Resources:
  • Upcoming video on choosing GPUs for different language models.
  • Links provided in the video description for further assistance.
• Closing Remarks:
  • Hyperstack allows for easy deployment of large language models.
  • Encourages viewers to subscribe and follow for updates and support.