RUN CHAT-GPT WITH LESS VRAM - Local AI Improvements are INSANE!

Dive into Uber Oogabooga's latest update in this in-depth tutorial! We're breaking down the performance upgrades and showing you how it can optimize models to run faster and handle more tokens, even on machines with less VRAM. This is an exciting development, especially for those who don't own high-end graphics cards!

In this video, we'll demonstrate running models on a laptop with just 8GB of VRAM, and we'll also discuss how these enhancements make it possible to run larger models with up to 13 or 30 billion parameters on machines with more VRAM capabilities.

We start off by walking you through the simple steps to update your Uber Oogabooga, followed by a tutorial on downloading and using the "Wizard Elmo uncensored GPT CQ" model, a 7-billion-parameter model, on our modest VRAM setup. We'll show you the power of x_llama and x_llama_HF, two new features in Uber Oogabooga that significantly optimize model usage for machines with different VRAM capacities.

Whether you're just starting with AI models or looking to get more performance out of your current setup, this video is a must-watch! Don't forget to like, subscribe, and hit the bell icon for more tutorials and updates.

Timestamps: 00:00 - Introduction 01:25 - Updating Uber Oogabooga 03:30 - Downloading and loading the model 05:50 - Demo: Running the model on a laptop with 8GB VRAM 08:20 - Understanding x_llama and x_llama_HF 10:45 - Conclusion

#AI #UberOogabooga #GPTModels #TechUpdate #MachineLearning #AIModels #VRAM #PerformanceBoost ... https://www.youtube.com/watch?v=-nPu0sjw1XY