Step-by-Step Guide: Running Uncompressed Mixtral 8x7B on a Habana Gaudi 2 Server using one HPU

The innovative Mixtral 8x7B LLM stands at the forefront of advancements in artificial intelligence, marking a pivotal development with its ~56 billion parameters and a design based on the Mixture of Experts architecture. It’s the first of its kind to surpass the performance benchmarks of GPT-3.5, introducing an era where Mixtral AI and text-generation-inference are redefined for enhanced conversational capabilities and support across multiple languages. The mixtral-8x7b-instruct not only demonstrates superior performance in benchmarks but also signifies a leap in the practical deployment of AI models, making it a cornerstone for researchers and practitioners alike.

At the heart of deploying this groundbreaking model is the Habana Gaudi 2 server, a purpose-built hardware designed to meet the rigorous demands of deep learning training with exceptional performance and efficiency. This server creates an environment where running uncompressed Mixtral 8x7B becomes feasible, enabling users to leverage the full potential of this LLM. As we delve into the specifics of downloading, configuring, and optimizing the Mixtral 8x7B on the Habana Gaudi 2, users stand to gain invaluable insights into harnessing the power of AI for diverse applications, setting new benchmarks in text generation inference…