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Run Llama 2 & Custom Models on macOS with Ollama

Build & run AI chatbots & writers. Use Llama 2 & customize models. On macOS now!

Build & run AI chatbots & writers. Use Llama 2 & customize models. On macOS now!

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Updated on April 19, 2025 (1 month ago)

AI Chatbot & AI Writing Unleashed: Introducing Ollama for Personalized AI Power

AI chatbot, AI writing, templates, AI text generator, AI assistant, and even AI website builder capabilities are now within your grasp with Ollama. This powerful platform empowers you to run Llama 2 and other cutting-edge AI models directly on your macOS device (with Windows and Linux support coming soon). Ollama lets you customize existing models or even build your own from scratch, opening up a world of possibilities for personalized AI solutions. Whether you need to craft compelling content, engage in natural conversations, automate tasks, or even develop innovative web applications, Ollama provides the tools and flexibility to bring your AI vision to life.

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This is a great start to an inventory of resources related to the Ollama project! It's organized well and covers a lot of ground. Here are some suggestions to make it even better: Structure & Organization: Categorize More Clearly: Consider using subheadings within each category (e.g., "Mobile," "Extensions & Plugins") for easier navigation. Prioritize by Relevance: Order items within categories based on popularity, usage frequency, or importance to the Ollama ecosystem. Use Consistent Formatting: Maintain consistent font styles, capitalization, and punctuation throughout the list. Content Enhancements: Add Links: Wherever possible, provide links to websites, repositories, or documentation for each item. This makes it much more useful for people who want to explore further. Brief Descriptions: Add a short sentence or two describing each item's purpose or key features. Target Audience: Consider specifying the intended audience for certain items (e.g., "developers," "users," "researchers"). Additional Categories: Communities & Forums: Include links to Ollama-related communities, forums, Discord servers, or social media groups. Education & Tutorials: List any helpful tutorials, guides, or courses specifically about using Ollama. News & Updates: Link to official blog posts, news articles, or announcements about Ollama developments. Examples: Here's how you could improve a few existing entries: Llama.cpp project founded by Georgi Gerganov: [https://github.com/ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp) This open-source project provides an efficient implementation of the Llama language model, enabling inference on CPUs. Confichat: [https://confichat.io/](https://confichat.io/) A lightweight, privacy-focused chat interface for interacting with Ollama models. Available on multiple platforms. By implementing these suggestions, you'll create a comprehensive and highly valuable resource for anyone interested in learning about and using Ollama.

Pricing

Customizable/Quote-Based

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