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English(EN) Deep Principle has released Hydrogen-1.0, an open-weight 753B parameter mixture-of-experts model for chemistry and materials science, post-trained from GLM-5.3

Deep Principle 发布 753B 开源科学模型 Hydrogen-1.0

作者 PulseAugur 编辑部 · [3 个来源] ·

Deep Principle 推出了 Hydrogen-1.0，一个拥有 7530 亿参数的开源模型，专为化学和生命科学等领域的科学发现而设计。该模型是 GLM-5.3 的衍生版本，通过领域特定数据、实验室记录和代理发现轨迹进行了增强。据报道，Hydrogen-1.0 在 FrontierScience-Research 基准测试中表现优于 GPT-6-Astra，并展示了在化学反应规划和数据分析等任务中的能力，其权重根据 MIT 许可证提供。 AI

影响 该模型的开源性质和科学重点有望加速专业领域的科学研究和发现的可复现性。

排序理由 前沿实验室模型发布，附带系统卡和基准测试结果。

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Deep Principle 发布 753B 开源科学模型 Hydrogen-1.0

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报道来源 [3]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery

    <p>Deep Principle has released Hydrogen-1.0, an open-weight scientific model for chemistry, materials science and life sciences. It is built by post-training Z.ai&#8217;s GLM-5.3 on domain data, laboratory records and agent discovery trajectories. For developers, it offers open w…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Deep Principle has released Hydrogen-1.0, an open-weight 753B parameter mixture-of-experts model for chemistry and materials science, post-trained from GLM-5.3

    Deep Principle has released Hydrogen-1.0, an open-weight 753B parameter mixture-of-experts model for chemistry and materials science, post-trained from GLM-5.3 on laboratory notebook records. Weights ship under an MIT licence and it scores 38.3 per cent on FrontierScience-Researc…

    链接 marktechpost.com/…/deep-principle-hydroge…
  3. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📰 Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery Deep Principle has released Hydrogen-1.0, an open-weight scientific mo

    📰 Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery Deep Principle has released Hydrogen-1.0, an open-weight scientific model for chemistry, materials science and life sciences. It is built by post-training Z.ai’s GLM-5.3 on domain data, labo…

    链接 marktechpost.com/…/deep-principle-hydroge…

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