Ollama
Ollama is an open-source tool for running large language models locally on your computer.
Ollama makes it easy to download and run advanced AI language models on your own laptop or desktop. Instead of needing powerful servers, you can use Ollama to set up and interact with models like Llama 3 or Mistral directly.
This is useful for developers who want to experiment with AI models without relying on cloud services, or for anyone who wants to run AI applications privately. For example, you could download a model using Ollama and then ask it questions or have it generate text right from your command line.
Ollama is an open-source framework that streamlines the process of downloading, setting up, and running large language models (LLMs) on local hardware. It provides a unified interface for managing model weights, configurations, and dependencies, abstracting away much of the complexity involved in local inference.
It typically bundles models in a standardized format and offers a local API endpoint, allowing applications to interact with the LLM as if it were a remote service. This simplifies development and testing for applications requiring local LLM capabilities, though performance is limited by the user's hardware.
Ollama is appearing in news because it enables developers to easily run large language models locally. This is relevant as frontier AI labs like Microsoft and OpenAI are exploring how local models can integrate with their broader platforms and tools, such as GitHub Copilot CLI.
- Discover local models in GitHub Copilot CLIMicrosoft · GitHub Changelog: Copilot ·
- Operation “Peer Review”: AI-assisted surveillance planningOpenAI · OpenAI News ·
- Microsoft Copilot
- Microsoft Copilot's GitHub Copilot CLI can use local AI models, potentially leveraging tools like Ollama to simplify this integration.
- OpenAI ChatGPT
- While not directly using Ollama, OpenAI's focus on AI security and model deployment is in the same ecosystem where tools like Ollama facilitate local model usage.
- LM Studio
- LM Studio is another desktop application that allows users to discove
- Hugging Face Transformers
- Hugging Face Transformers is a popular Python library
Ollama was developed by a team focused on making LLMs more accessible. It emerged from the open-source community's desire for simpler local model deployment. Source ↗
Download and install Ollama from its official website. Then, open your terminal and type 'ollama run llama3' to download and start chatting with the Llama 3 model directly on your computer.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Setting tipDiscover and add local Ollama models in GitHub Copilot CLIUse the /model command to find and add local Ollama models to GitHub Copilot CLI without leaving your workflow. · 5 min
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- Do I need a powerful computer to use Ollama?
- While Ollama can run on standard computers, performance will vary. More powerful hardware, especially a good GPU, will lead to faster and smoother model responses.
- Can I use Ollama with different AI models?
- Yes, Ollama supports a growing list of open-source models. You can easily switch between them by specifying the model name when running the 'ollama run' command.
First seen on Subvolts Feb 1, 2025. Updated Oct 14, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.