Microsoft Upgrades Windows 11 Windows ML Framework with Native GGUF and ONNX Support
Microsoft has updated its Windows ML framework in Windows 11 to introduce experimental native support for GGUF and ONNX model formats via llama.cpp integration. Alongside this integration, Microsoft introduced the Windows ML Runtime API as well as dedicated Text Generation and Speech Recognition APIs. This OS-level integration simplifies local AI deployment for Windows developers, allowing desktop applications to run local open-source models efficiently without relying on cloud services. By standardizing local inference APIs, Microsoft makes it significantly easier to build privacy-focused and low-latency AI features directly on user devices. Microsoft partnered with Nvidia and the llama.cpp open-source community to contribute performance optimization code, enabling seamless importing of GGUF models from Hugging Face. While existing ONNX Runtime APIs remain supported, future Windows-specific performance optimizations will prioritize the new Windows ML Runtime API.
## BACKGROUND
GGUF is a compact, single-file binary format designed for local large language model inference using quantization to reduce memory usage, heavily popularized by the llama.cpp engine. ONNX (Open Neural Network Exchange) is an open ecosystem format that allows machine learning models to be interchanged across different frameworks and hardware platforms.