Deploying a 1-Bit Bonsai-27B Model with PrismML llama.cpp and OpenAI-Compatible Local Inference Workflows
In this tutorial, we deploy the 1-bit Bonsai-27B language mannequin utilizing the PrismML fork of llama.cpp, which gives the specialised CUDA kernels required to decode the mannequin’s Q1_0_g128 GGUF quantization format. We start by validating the GPU runtime, putting in the required Python dependencies, compiling the CUDA-enabled inference binaries, and downloading the compressed mannequin weights…
