A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG

A tutorial shows how to deploy PrismML’s Bonsai-1.7B 1-bit LLM on a GPU with CUDA and prebuilt llama.cpp binaries.

It covers downloading the GGUF model, loading it successfully, and using the Q1_0_g128 quantization format.

The guide then demonstrates benchmarking, multi-turn chat, structured JSON output, code generation, and an OpenAI-compatible server.

It also includes a small RAG example, highlighting how 1-bit quantization can cut memory use while keeping the model practical on consumer GPUs.