English(EN) Xiaohongshu Quietly Open-Sources Its Own Large Model: Content Platforms Build Their Own Base

小红书开源MoE大模型dots3-note

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-21 08:17

小红书已开源其大语言模型dots3-note，这是一个混合专家（MoE）模型，拥有2800亿总参数和160亿激活参数。该模型拥有512K的上下文窗口，并支持文本、视觉和语音理解。此次在Hugging Face和GitHub上发布的模型，标志着小红书正将AI作为其平台的基础元素进行战略性整合，该平台服务于超过3亿月活跃用户。 AI

影响小红书的此次发布可能会推动内容平台进一步开发和采用开源大语言模型，从而可能实现AI能力的民主化。

排序理由主要内容平台开源大语言模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 主要内容平台开源大语言模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 47 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

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Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-08-21 08:17

小红书悄然开源自研大模型：内容平台自建基座成趋势

Xiaohongshu released a large model overseas, the dots3-note preview, a MoE model with 280B total and 16B activated parameters, 512K context, and text, vision, and voice understanding. Released under Apache 2.0 on Hugging Face and GitHub with Huawei Ascend adapting on day zero, it…

本文如何被排名

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小红书悄然开源自研大模型：内容平台自建基座成趋势

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