A tutorial has been published on deploying a 1-bit Bonsai-27B language model using a customized version of the llama.cpp framework. This framework provides the necessary CUDA kernels to decode the model's quantization format. The tutorial focuses on using the PrismML fork of llama.cpp to facilitate local inference workflows compatible with OpenAI. The deployment process involves utilizing the specialized CUDA kernels to enable efficient model execution. This development is relevant to researchers and developers working with large language models, as it provides a step-by-step guide to deploying a specific model using customized tools. The successful deployment of this model has implications for the efficient processing of large-scale language models in various applications.