Run DeepSeek R1 on your own Devices in 5 mins
DeepSeek R1 is a powerful and versatile AI model that challenges established players like OpenAI with its advanced reasoning capabilities, cost-effectiveness, and open-source availability. While it has some limitations, its innovative approach and strong performance make it a valuable tool for developers, researchers, and businesses alike. For those interested in exploring its capabilities, the model and its distilled versions are readily accessible on platforms like Hugging Face and GitHub.
Trained by a Chinese team under the GPU sanctions, it is surprisingly good at things like math, coding, and even some pretty complex reasoning. What I find most interesting is that it's a “distilled” model, meaning it's smaller and more efficient than the giant models it was based on. This is huge because it makes it much more practical for people to actually use and build upon.
We will use the Rust + Wasm stack to develop and deploy applications for this model. There are no complex Python packages or C++ toolchains to install! See why we choose this tech stack.
