WoofGPT is powered by three advanced large language models (LLMs), each designed to deliver accurate, contextually rich, and responsive answers to a wide variety of questions. These models are hosted on a dedicated server, ensuring reliable performance without reliance on third-party processing. Here’s a brief overview of the models currently in use:
The 12 billion parameter model is the backbone of WoofGPT’s quick-response capabilities. It is highly efficient, making it ideal for common queries and rapid interactions. Despite its smaller size, this model delivers impressive accuracy across a wide range of topics, making it the go-to choice for most routine responses.
Built on the robust Gemma3 architecture, this 27 billion parameter model strikes a balance between speed and depth. It offers enhanced comprehension and context retention, making it well-suited for more complex questions and nuanced responses. This model is continuously fine-tuned to improve accuracy and adaptability, ensuring reliable performance for demanding tasks.
At the core of WoofGPT’s advanced responses is a custom-trained 70 billion parameter model. This powerhouse is designed for deep, context-rich conversations, capable of handling intricate queries with precision. It benefits from ongoing refinements to improve response quality and reduce latency, making it the most comprehensive model in the lineup.
The WoofGPT models are constantly being refined to improve their speed, accuracy, and overall conversational quality. Regular updates ensure that responses remain relevant, precise, and aligned with the latest advancements in LLM technology.