DIYGPT is here!

The YouTube vide titled “Guanaco 65B: 99% ChatGPT Performance 🔥 Using NEW QLorRA Tech” by Matthew Berman discusses a new technology called QLorRA and its application in training large language models. Here are the key insights:

1. QLorRA Technology: QLorRA is a new technique that allows the training of a 65 billion parameter model on consumer hardware in a matter of hours. It reduces the average memory requirements of fine-tuning a 65B parameter model from over 780 gigabytes of GPU memory to less than 48 gigabytes without downgrading the runtime or predictive performance.
2. Guanaco Model: Guanaco is a 65 billion parameter model that was trained using QLorRA technology. It achieves performance on par with ChatGPT. It can be set up using Runpod, a cloud GPU service.
3. Cost-Effective Training: Training a 65B parameter model using QLorRA technology on Runpod costs less than $20, making it accessible for many users. A 13 billion parameter model can even be trained for free using Google Colab.
4. Performance Evaluation: The Guanaco model was tested on a variety of tasks including coding, creative writing, fact-checking, logic problems, planning exercises, and bias detection. It performed impressively on most tasks, demonstrating its versatility and capability.
5. Future Implications: The advent of QLorRA technology opens up possibilities for a new wave of open-source models, making large language model training more accessible and affordable.

You can watch the full video here for a more detailed explanation and demonstration.