# Quick Start Guide Welcome to the **Cortensor Quick Start Guide!** As we move forward with the development of our platform, here are some essential notes to help you get started: *** ## **Operating System Requirements** * **Cross-Platform Support:** Cortensor is now fully supported on **Linux, Windows, and macOS**. * **Python and Docker:** You'll need **Python** and **Docker** installed on your system to run Cortensor. These tools are essential for managing dependencies and containerizing the Cortensor environment. *** ## **Model Support** * **Quantized & Non-Quantized Models:** Cortensor now supports **both quantized and non-quantized models**, ensuring broader compatibility across various hardware configurations. * **Expanding Model Support:** We will continue expanding support for additional model types as development progresses. *** ## **Hardware Requirements** * **CPU/GPU Compatibility:** Cortensor now supports **both CPUs and GPUs** across all platforms (**Linux, Windows, and macOS**). * ~~**Broader CPU Support:** Unlike earlier versions, **AVX instruction sets (AVX, AVX2, AVX512) are no longer required**. Lower-end CPUs without AVX instructions are now supported.~~ * **Quantization Levels:** Initial inference will support **4-bit quantization**, ensuring efficient processing on a variety of CPUs. Additional quantization options and non-quantized models will be introduced over time. *** These are just the first steps—stay tuned for **detailed setup instructions and updates** as we continue improving the platform! *** **Disclaimer:** This page and the associated documents are currently a work in progress. The information provided may not be up to date and is subject to change at any time. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cortensor.network/getting-started/quick-start-guide.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.