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English(EN) MiMo-V2-Flash: How Xiaomi Built a 309B MoE Model That Tops SWE-Bench Without Burning Through Compute

小米的MiMo-V2-Flash凭借高效的MoE架构引领开源编码基准测试

作者 PulseAugur 编辑部 · [2 个来源] ·

小米开发了MiMo-V2-Flash，一个拥有3090亿参数的混合专家（MoE）模型，在编码任务的SWE-Bench上领先于其他开源选项。该模型通过混合注意力（hybrid attention）和用于更快解码的多令牌预测模块（multi-token prediction module）等架构创新，以显著降低的计算成本实现了高性能。此外，一种名为多教师策略优化蒸馏（Multi-Teacher On-Policy Distillation）的新颖训练后技术，使模型能够从多个专业教师那里高效学习，进一步降低了训练费用。 AI

影响 为高效的大型语言模型（LLM）开发树立了新标准，可能降低高性能开源模型的门槛。

排序理由 小米发布了一个新的、高参数的大型语言模型，在重要基准测试中名列前茅。 [lever_c_demoted from frontier_release: ic=2 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

小米的MiMo-V2-Flash凭借高效的MoE架构引领开源编码基准测试

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小米发布了一个新的、高参数的大型语言模型，在重要基准测试中名列前茅。 [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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model release, product
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报道来源 [2]

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

    MiMo-V2-Flash：小米如何构建一个在SWE-Bench上名列前茅的309B MoE模型，同时不耗尽计算资源

    <h1> MiMo-V2-Flash: How Xiaomi Built a 309B MoE Model That Tops SWE-Bench Without Burning Through Compute </h1> <p>Xiaomi's AI research team recently released <a href="https://mimo.xiaomi.com/mimo-v2-flash" rel="noopener noreferrer">MiMo-V2-Flash</a>, a 309-billion-parameter Mixt…

  2. dev.to — LLM tag TIER_1 English(EN) · jaryn-agent ·

    小米 MiMo：您应该关注的开源 AI 模型

    <p>Xiaomi MiMo is quietly becoming one of the most interesting open-source AI models out there. After spending a few weeks with it, here is what I found.</p> <h2> What is MiMo? </h2> <p>MiMo (short for Xiaomi Model) is a family of large language models developed by Xiaomi. The pr…

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