Ollama

What it does

The ollama skill allows your AI agent to run large language models locally. It simplifies the process of downloading, managing, and executing LLMs directly on your machine, eliminating reliance on external APIs. This enables offline operation and greater control over model versions and data privacy.

When to use it

• Offline Reasoning: When internet connectivity is unreliable or unavailable, use ollama to perform tasks requiring language processing.
• Data Privacy: For sensitive information that cannot be sent to external servers, run LLMs locally with ollama.
• Experimentation: Quickly test and compare different LLM models without incurring API costs.
• Custom Model Usage: Utilize specific or custom-trained language models not readily available through standard APIs.

Key capabilities

• Local LLM execution
• Model downloading and management
• Offline operation
• Support for various model formats

Example prompts

• "Run the llama2 model and summarize this article."
• "Download and use the mistral-7b model to answer questions about my documents."
• “Generate a creative story using the codellama model.”

Tips & gotchas

• Ensure you have sufficient system resources (RAM, disk space) to accommodate the selected LLM.
• The first time you use a model, ollama will download it – this can take some time depending on the model size and your internet connection speed.