Python
🦙 Exploring Ollama: An Open-Source LLM (my notes)
I have meant to do a proper write-up on the Ollama project for a while. Instead of putting it off any longer, I decided to publish my outline and notes, hoping that someone might find it helpful if you wanted to run your own local, offline LLM.
Why Ollama?
- Open-source LLM server
- Runs over two dozen models, with new ones released every week
- My personal favorite: Ollama
My Journey with Ollama
- Discovered Ollama a year ago
- One of the first accessible projects for M-series Mac
- User-friendly and performed well.
Ollama’s Growing Compatibility
- Expanded to support Windows and Linux
- Became AMD-friendly
- More accessible to users with various hardware setups
The Llama3 model changes everything
- Llama3 70b model introduction
- 70b model runs on Mac Studio with 64 GB of RAM
- Enables running a powerful LLM locally
- Benefits: privacy, customization, offline access
Making Life Easier with the LLM Python Project
- Installed llm-ollama plugin into LLM Python project
- Simplifies switching between different LLMs
- Quicker and easier testing of new models compared to Ollama’s CLI
Ollama’s Library and APIs
- ollama-python library for integrating Ollama models into Python projects
- Ollama’s built-in OpenAI compatible API for seamless use with existing OpenAI-based applications
Final Thoughts
- Ollama: a top choice for open-source, locally-run LLM
- Expanding compatibility
- Impressive Llama3 model
- Easy integration with LLM Python project
- Handy libraries and APIs
- Recommended for researchers, developers, and curious individuals
Tuesday June 11, 2024