Unravel the mystery of AGI with curiosity. Answer the essential question with long-termism. A unified multimodal understanding and generation model. Org profile for DeepSeek on Hugging Face, the AI community building the future.

We introduce an innovative methodology to distill reasoning capabilities from the long-Chain-of-Thought (CoT) model, specifically from one of the DeepSeek R1 series models, into standard LLMs, particularly DeepSeek-V3.

Today, we’re introducing DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token.

Please visit DeepSeek-V3 repo for more information about running DeepSeek-R1 locally. NOTE: Hugging Face's Transformers has not been directly supported yet. DeepSeek-R1-Distill Models. DeepSeek-R1-Distill models can be utilized in the same manner as Qwen or Llama models.

DeepSeek, unravel the mystery of AGI with curiosity. Answer the essential question with long-termism. 🎉 DeepSeek-R1 is now live and open source, rivaling OpenAI's Model o1.

2024年12月13日 · DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical character recognition, document/table/chart understanding, and visual grounding.

2024年10月18日 · DeepSeek’s Janus positions itself as a leading solution in the evolving multimodal LLM landscape by offering decoupled visual pathways but retaining a unified transformer framework. Its flexibility without compromising performance will make it a popular tool among Hugging Face’s community and other AI developers.

2024年8月16日 · Introducing DeepSeek LLM, an advanced language model comprising 7 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community.

2024年12月10日 · DeepSeek-V2.5 is an upgraded version that combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct. The new model integrates the general and coding abilities of the two previous versions. For model details, please visit DeepSeek-V2 page for more information.

2025年1月28日 · The Hugging Face engineers plan to tap the Science Cluster to generate datasets similar to those DeepSeek used to create R1. To build a training pipeline, the team is soliciting help from the AI ...