Ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.
High commit volume, frequent releases and growing activity.
Commit activity more than 81% of tracked projects; popularity in the top 1%. How this is calculated.
Commits, last 11 months
| Stars | 182k |
|---|---|
| Latest release | v0.40.0-rc0 · 25 Sept 2026 |
| Repo updated | 26 Sept 2026 |
| Licence | MIT |
| Built with | Docker, Python |
Is Ollama actively maintained?
Ollama is under active development: 1110 commits landed over the last 11 months, averaging roughly 99 commits a month in the most recent quarter.
The most recent tagged release, v0.40.0-rc0, shipped within the last month — a current, installable version exists today.
Ollama ranks #8 of 14 in Generative Artificial Intelligence (GenAI), placing it mid-table for maintenance activity.
What Ollama actually does
Ollama provides a runtime environment to download, configure, and execute large language models locally on your own hardware. It abstracts the underlying model files and execution libraries into a standardised interface for text generation tasks.
Best fit: Developers and system administrators who want to run generative AI models locally without relying on external cloud APIs.
Worth knowing: Running large language models locally demands substantial hardware resources, particularly compatible GPUs with sufficient VRAM for acceptable performance.
Deployment notes
As a containerised application, it typically requires persistent storage volumes to save downloaded model weights and a reverse proxy if you need to handle TLS termination for network access.
Links
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