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English(EN) Inkling 2 Small: Thinking Machines' 594B Model That Scores Like a Frontier System

Thinking Machines 发布 594B Inkling 2 Small 模型，计划开放权重

作者 PulseAugur 编辑部 · [1 个来源] ·

Thinking Machines 发布了 Inkling 2 Small，一个拥有 5940 亿参数的模型，在基准测试中取得了前沿水平的性能。该模型采用了混合专家（mixture-of-experts）架构，每个 token 仅激活 170 亿参数，从而在保留广泛知识的同时实现高效计算。虽然目前只能通过 Thinking Machines 的 Tinker 平台以具有竞争力的价格访问，但该实验室计划下周根据 Apache 2.0 许可证发布完整的权重，这可能使其成为最强大的开放权重模型。 AI

影响 可能使前沿水平模型的访问民主化，推动开源 AI 发展。

排序理由 前沿实验室模型发布，附带系统卡和计划开放权重。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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Thinking Machines 发布 594B Inkling 2 Small 模型，计划开放权重

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前沿实验室模型发布，附带系统卡和计划开放权重。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · NeurAITool ·

    Inkling 2 Small：Thinking Machines 的 594B 模型，得分堪比前沿系统

    <p>Mira Murati's Thinking Machines Lab has shipped its second model: 594 billion parameters, a score of 31 on the Artificial Analysis Intelligence Index — more than double the first Inkling Small — and a promise that the full weights could be free to download under Apache 2.0 nex…

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