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English(EN) Introducing Hy4 Preview

腾讯预览Hy4大语言模型,拥有100万上下文窗口和7700亿参数

腾讯发布了其新型开放权重语言模型Hy4的预览版。该模型拥有7700亿总参数和490亿活跃参数,相较于其前代Hy3有了显著提升。Hy4还具备100万token的上下文窗口,并支持两种推理努力级别:“高”和“无思考”。早期测试中,当提示生成一只骑自行车的鹈鹕的SVG图像时,模型展示了有趣的推理过程,考虑并排除了头盔和太阳镜等选项。 AI

影响 为开放权重模型树立了参数数量和上下文窗口的新标杆,可能推动大规模大语言模型开发的竞争。

排序理由 腾讯发布前沿实验室模型,附带系统卡。[lever_c_从frontier_release降级:ic=1 ai=1.0]

在 Simon Willison 阅读 →

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

腾讯预览Hy4大语言模型,拥有100万上下文窗口和7700亿参数

本文如何被排名

Signal score
100 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
腾讯发布前沿实验室模型,附带系统卡。[lever_c_从frontier_release降级: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
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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. Simon Willison TIER_1 English(EN) ·

    推出 Hy4 预览版

    <p><strong><a href="https://hy.tencent.ai/research/hy4-preview">Introducing Hy4 Preview</a></strong></p> New open weight text input (no vision) LLM from Chinese company Tencent today: 770B total parameters, 49B active parameters, 1M token context window.</p> <p>This is a big size…