The OffLM™ Network is a decentralized infrastructure that gives users secure, private access to open-source AI models. It supports running models either locally or via decentralized compute providers, with no need to surrender privacy or rely on centralized services.

Governed by a DAO (Decentralized Autonomous Organization), the network handles model discovery, compute routing, and payments, all coordinated through the native token $OFFLM.

The products available on offlm.com are built on top of the OffLM Network. In particular, we develop the user interfaces (UI) that make it easy to run the OffLM Network on Windows and macOS, enabling anyone to access private AI with just a few clicks. These tools are maintained by a licensed Singapore-based company that contributes to the network and pays fees to the DAO.

For Windows PCs, a processor equivalent to or newer than the Intel Core i3-2100 (released in 2011) is required. This means that most Windows computers purchased after 2011 should be compatible. Additionally, your system should have at least 8GB of RAM. The operating system should be Windows 10 or 11.

For Apple users, devices equipped with an M1 chip and 16GB of RAM are suitable, running on macOS Monterey 12.6 or newer.

If you encounter any issues during installation or operation, our support team is available to assist you remotely. Should your existing hardware prove incompatible, we offer refunds in accordance with our limited refund policy.

OffLM™ supports a wide range of open-source large language models (LLMs) optimized for local execution, curated via the OffLM™ Network. These include models based on architectures such as DeepSeek R1*, LLaMA, and Mistral. You can explore and download various models directly through the OffLM™ interface, selecting those that best fit your specific needs.

Installing OffLM™ is straightforward:

1. Download: Visit our official website and purchase the installer compatible with your operating system (Windows, macOS, or Linux).
2. Install: Run the installer and follow the on-screen instructions to complete the installation.
3. Launch: Open the OffLM™ application. Upon first launch, you'll be prompted to download an AI model of your choice.
4. Download Model: Browse the available models, select the one that suits your requirements, and click 'Download' to install it.

Once the model is downloaded, you're ready to start interacting with OffLM™.

Yes, one of the key features of OffLM™ is its ability to run entirely offline. After downloading and installing the application and your chosen models, all processing occurs locally on your device. This ensures privacy and allows you to use OffLM™ without any internet connection.

OffLM™ is designed to process a variety of text-based file formats, enabling seamless interaction and analysis. Supported file types include:

• Text Files: Plain text files with extensions such as .txt.
• Microsoft Word Documents: Files with .doc or .docx extensions.
• Rich Text Format: Files ending in .rtf.
• PDFs: Standard Portable Document Format files with a .pdf extension.
• Markdown Files: Files using the .md extension.
• CSV Files: Comma-separated values files with a .csv extension.

These formats are commonly used for documents, reports, and data storage, ensuring compatibility with OffLM™'s features.

Please note that while OffLM™ excels with text-based files, it may not fully support or accurately process non-text formats such as images, videos, or proprietary file types. For optimal performance, ensure your files are in one of the supported text-based formats.

If you have specific file types or encounter any issues, feel free to contact our support team for assistance.

The OffLM Network is powered by a decentralized autonomous organization (DAO) that governs its development, infrastructure, and long-term vision. However, the website offlm.com and certain operational aspects are managed by a Singapore-based company, which holds a license to use the OffLM brand and technology. This company contributes to the ecosystem and pays licensing fees to the OffLM DAO.

Core contributors are primarily based in Singapore and Lisbon, allowing for a global reach while maintaining strong regional foundations in innovation and governance.