DeepSeek v3 is a state-of-the-art AI language model built on a Mixture-of-Experts (MoE) architecture, featuring 671 billion parameters, with 37 billion activated per token. Trained on 14.8 trillion high-quality tokens, it excels in various domains including complex reasoning, code generation, and multilingual tasks. Key features include a long context window of 128K tokens, multi-token prediction, and efficient inference, making it suitable for a wide range of applications from enterprise solutions to content creation.

Petals is an innovative platform that facilitates the decentralized running and fine-tuning of large language models (LLMs). Leveraging a network structure similar to BitTorrent, users can share the computational load, thereby achieving faster inference and fine-tuning. This approach democratizes access to advanced AI capabilities, enabling anyone to run powerful LLMs from home without needing extensive computational resources.