Ollama - Local Models on your machine
AI Summary
Summary: Introduction to Ollama
- Visited LangChain offices, saw a Llama sticker, and learned about Ollama from Harrison.
- Ollama is a user-friendly tool for running large language models locally, supporting macOS and Linux, with Windows support planned.
- Supports various models like LLaMA-2, uncensored LLaMA, CodeLLaMA, Falcon, Mistral, Vicuna, WizardCoder, and Wizard uncensored.
- Ollama can be downloaded from their website and installed easily.
- Operates via command line; for Mac users, the Terminal app is used.
- Models are downloaded and run using Ollama commands (
ollama run model).- Demonstrated downloading the LLaMA-2 model, which is a 3.8 GB file.
- Showed how to interact with the model, check performance stats, and run custom prompts.
- Created a custom Hogwarts model with a specific system prompt.
- Explained how to add and remove models from the Ollama list.
- Plans to create more content on Ollama, including using LangChain and loading custom models from Hugging Face.
- Acknowledged the current limitation for Windows users and promised future updates.
Commands and Operations Demonstrated:
ollama list: Lists installed models.ollama run model: Runs a model or downloads it if not present.ollama pull model: Downloads a model.- Custom prompt creation and usage.
- Adding and removing models with Ollama.
Conclusion:
- Ollama simplifies the process of running language models locally for non-technical users.