oLLM is a lightweight Python library designed for large-context LLM inference, allowing users to run substantial models on consumer-grade GPUs without quantization. The latest update includes support for various models, improved VRAM management, and additional features like AutoInference and multimodal capabilities, making it suitable for tasks involving large datasets and complex processing.

Instructions for setting up the VoiceStar project include downloading pretrained models, creating a Conda environment, and installing necessary Python packages. The article also covers running inference commands for text-to-speech synthesis and provides solutions for handling warnings during execution. Additionally, it specifies the licensing for the code and model weights used in the project.