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Welcome to Dots Studio !

Introduction

Dots Studio was launched by Xiaohongshu in early 2025, growing out of the company’s in-house large language model technology team. Driven by the mission to "build frontier intelligence for everyday life", the studio sits at the intersection of technology and human-centered design—constantly exploring the cutting edge of AI while staying grounded in what matters most: people and their everyday living. Its goal is to apply the most advanced intelligence to the full spectrum of daily experiences, making life better, simpler, and more human.

Research

  • dots.llm1 is a large-scale MoE model that activates 14B parameters out of a total of 142B parameters, delivering performance on par with state-of-the-art models. We released (i) checkpoints for state-of-the-art medium-sized models and (ii) training recipes for the MoE models.
  • dots.ocr is a powerful, multilingual document parser that unifies layout detection and content recognition within a single vision-language model while maintaining good reading order. Despite its compact 1.7B-parameter LLM foundation, it achieves state-of-the-art(SOTA) performance.
  • dots.vlm1 is the first vision-language model in the dots model family. Built upon a 1.2 billion-parameter vision encoder and the DeepSeek V3 large language model (LLM), dots.vlm1 demonstrates strong multimodal understanding and reasoning capabilities.

Pinned Loading

  1. dots.vlm1 dots.vlm1 Public

    The official repository of the dots.vlm1 instruct models proposed by rednote-hilab.

    Dockerfile 288 8

  2. dots.ocr dots.ocr Public

    Multilingual Document Layout Parsing in a Single Vision-Language Model

    Python 9k 800

  3. dots.llm1 dots.llm1 Public

    The official repository of the dots.llm1 base and instruct models proposed by rednote-hilab.

    491 27

  4. dots.mocr dots.mocr Public

    Multimodal OCR: Parse Anything from Documents

    Python 304 23

  5. dots.tts dots.tts Public

    Python 959 105

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