Ollama
Supports local deployment of Llama 3, Code Llama, and other language models, enabling users to customize and create personalized models. Ideal for AI development, it offers flexibility for offline AI needs and integrates AI writing and chatbot tools in local setups.
Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux
Features
Properties
- Privacy focused
Features
- AI Chatbot
- AI-Powered
- AI Writing
- Ad-free
- Works Offline
- No registration required
- Dark Mode
- Golang
Tags
- llama
Ollama News & Activities
Recent News
- Fla published news article about Ollama
GLM-4.6 and Qwen3-coder-480B join Ollama cloud with new updatesGLM-4.6 and Qwen3-coder-480B coding models are now available on Ollama’s cloud service and can also...
- POX published news article about Ollama
Ollama launches web search API to boost AI model accuracy and reduce hallucinationsOllama has introduced a new web search API, expanding the platform’s capabilities to provide real-t...
- Maoholguin published news article about Ollama
Ollama launches a new desktop app for macOS and Windows with image and code file supportOllama has launched a desktop app for macOS and Windows, bringing its AI models to a graphical inte...
Recent activities
mer30hamid added Ollama as alternative to Foundry Local- albinr liked Ollama
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Comments and Reviews
Ollama is a great way to run open source AI models locally. The installation of models is very straightforward, and Ollama even has their own repository for the models so I don’t have to worry about getting them from a reputable source. Unfortunately, it’s not the easiest app for people who don’t like command-line-interfaces, but this does make it a really powerful tool. To get a graphical interface, I use Ollama-App. So far, it has been working pretty well even though it is in beta for desktop.
Since it doesn't have a GUI, you need to get used to the command-line interface (the commands are similar in style to Git, if you're familiar with it). There are no customization options when loading models, and it only supports models in the GGUF format. However, even GGUF models don't work out of the box—you'll need to manually adjust or convert them before use, due to its custom model structure.
Because it's CLI-based, it can even be compiled and run on a phone using Termux or similar tools. That said, it lacks a 'Chat with Documents' feature, meaning it doesn’t include built-in tools for embedding your own documents or performing RAG-like operations. These have to be set up manually. So overall, it’s not very user-friendly, but it’s a minimal and lightweight choice for running LLM/AI models.