Today, we are going to learn how to create our own large language model, similar to chatGPT. The best part is, it’s completely free and you don’t need any coding experience. Just follow the steps I’m going to outline.
But before we begin, I would like to give a shoutout to Martin Thiessen. I followed his tutorial on creating a language model on your local computer. You can find all the links in the description.
To get started, you’ll need to request access to Llama. I got my access in under five minutes, but it may take longer for you. Just fill out the form with your email address. Make sure to use the same email when creating an account on Hugging Face.
O
nce you have access to Llama, go to Hugging Face and create an account using the same email. Then, go to your profile, click on settings, and navigate to the access token section. Here, you'll find your token.
Now, we're ready to deploy our own language model using Google Collab. Google Collab is a free and fast platform for running machine learning models. Keep in mind that any files you create will be deleted once the session is closed, so make sure to download them if you need to.
To get started, run the provided code in Google Collab. This code will install the necessary dependencies and set up the environment. You can find the code in my GitHub repository (link in the description). Just copy and paste it into your Google Collab notebook.
Once the code is running, it will download the language model. The model I'm using has 7 billion parameters and is optimized for performance. The download speed will depend on your internet connection, but Google Collab usually handles it quickly.
After the download is complete, you can interact with the language model. Just run the provided code and ask it questions. Keep in mind that the model may not always provide accurate answers, as it's a compressed version of the original model. The larger the model, the better the accuracy.
In conclusion, creating your own language model with chatGPT is an exciting and accessible process. With the help of Google Collab and the resources available on Hugging Face, you can explore the world of natural language processing and fine-tune models to suit your needs. Remember to check out the tutorial and follow along for a more detailed explanation.
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