Content Introduction
In this video, Laith discusses OpenAI's recent release of an open-source model that allows users to run a local version of GPT with 20 billion parameters. The video details the installation process using the Olama platform, emphasizing the need for the latest version and suitable hardware. Laith explains how to start using the model through both the Olama app and terminal commands, highlighting that the 120 billion parameter model requires a more powerful GPU than he possesses. He demonstrates running a simple tic-tac-toe game using the model while discussing CPU and GPU resource allocation. Laith concludes by encouraging viewers to provide feedback on the video's content and his subscriber goal.Key Information
- Laith introduces a video discussing OpenAI's release of an open-source 20 billion parameter model that can be run locally.
- OpenAI has released two models: a 20 billion and a 120 billion parameter model; the 120 billion model requires a powerful H100 GPU.
- In the video, Laith will install the 20 billion parameter model, as it can run on his 4070 Super GPU, which lacks the necessary power for the larger model.
- The installation requires using Olama, which needs to be downloaded with the latest version for compatibility with the model.
- Users can install the model via a chat interface within the Olama app or through a terminal command.
- After installation, Laith demonstrates running the model and its performance on a simple Python tic-tac-toe game.
- The video highlights that while the model can run locally, it may have limitations on resource usage due to lower GPU capabilities.
- Laith discusses potential enterprise use cases for the model, emphasizing the importance of local deployment for companies that don't trust offshore models.
- He encourages viewers to engage with the video and subscribe to his channel as he aims for 20,000 subscribers.
Timeline Analysis
Content Keywords
OpenAI
OpenAI has released an open-source model that anyone can run locally. The model comes with 20 billion parameters, making it accessible for users without needing high-end GPUs.
Chat GPT
The video discusses the functionality of a chat GPT that can be run on local machines. Users can install and utilize this version for various applications.
Model Installation
The installation guide covers how to set up the 20 billion parameter model using Olama, highlighting the requirement for the latest version.
GPU Requirements
It is explained that the 120 billion model requires a powerful single H100 GPU, while the 20 billion model is more accessible, requiring only a standard GPU with at least 12GB VRAM.
Resource Monitoring
The video demonstrates how to check resource allocation, displaying a load balance between CPU and GPU while running the model.
Tic-Tac-Toe Game
As an example of the model's capabilities, a simple Python tic-tac-toe game is created, illustrating practical use cases for code generation.
Enterprise Use Cases
The 20 billion parameter model is presented as a viable solution for enterprises looking to create localized chat models that adhere to specific business requirements.
Future of AI Models
A statement is made about the potential of future AI models being incredibly powerful, possibly surpassing human intelligence in aiding tasks.
Subscriber Call to Action
The video ends with the host encouraging viewers to subscribe to their channel, emphasizing that only a small percentage of viewers are currently subscribed.
Related questions&answers
What is the topic of today's video?
What models does OpenAI have released?
Why is the presenter installing the 20 billion model instead of the 120 billion model?
What GPU does the presenter have?
How can you install the model?
What should you check before installing the model?
What is the expected load distribution when running the model?
What is the example task given to the model during the video?
What is the advantage of running a local model for businesses?
What is the presenter's goal regarding subscribers?
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