Deploying a 1-Bit Bonsai-27B Model with PrismML llama.cpp and OpenAI-Compatible Local Inference Workflows

A tutorial shows how to deploy Bonsai-27B locally using PrismML’s CUDA-enabled fork of llama.cpp.

It covers validating the GPU runtime, installing dependencies, building the fork, and downloading GGUF weights from Hugging Face.

The model is tested with llama-cli and then exposed through an OpenAI-compatible local server, with optional performance and long-context tweaks.

The setup demonstrates practical local inference for a heavily quantized 27B model on modest GPU hardware.