Running a Hugging Face LLM on your laptop without internet connectivity

📚 Hugging Face is the home of Open Source large language models.

💻 Learn how to download a model from Hugging Face to your machine.

🔑 Generate a Hugging Face key and set it as an environment variable.

📥 Choose a model to download, preferably one with fewer parameters.

💡 Running a Hugging Face LLM on consumer Hardware with parameters at 3 billion.

💻 Downloading the necessary files, including pytorch and configuration files, to run the model.

🔽 Using the HF hub download function to download and store the files in the cache folder.

🔍 We check the connectivity of our machine and toggle the Wi-Fi off to ensure it is disconnected from the internet.

💻 We initialize the model by importing classes from the Transformers library and creating a tokenizer and a model.

📝 Lastly, we create a pipeline for text generation after setting the model type as 'text to text generation'.

👍 Running a Hugging Face LLM on your laptop

🕵️‍♂️ Performing a HTTP head request to check for the latest version

💡 Using the Hugging Face LLM to answer questions about competitors to Apache Kafka

🔍 Exploring the possibility of using the Hugging Face LLM with custom data

📚 Running a Hugging Face LLM on your laptop.

💡 Generating summaries using different types of data.

🎥 Related video on getting a consistent JSON response when using Open AI.