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Italiano(IT) Meituan ha addestrato un modello AI da 1.600 miliardi di parametri senza usare chip NVIDIA — usando chip cinesi domestici. È open source MIT. 59.5% su SWE-bench

美团使用国产芯片训练1.6T参数开源AI模型

美团开发了一个拥有1.6万亿参数的开源AI模型,完全使用国产硬件进行训练,无需依赖英伟达芯片。该模型在SWE-bench基准测试中取得了59.5%的分数,显示出在代码生成任务方面的强大性能。 AI

影响 展示了国产硬件训练大规模AI模型的能力,可能减少对外国芯片制造商的依赖。

排序理由 发布了一个参数量大、基准性能高、且在非主流硬件上训练的开源模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

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

美团使用国产芯片训练1.6T参数开源AI模型

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Tool
发布了一个参数量大、基准性能高、且在非主流硬件上训练的开源模型。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
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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, infra
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Clearly on-topic for AI-industry coverage.
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91 days old
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 Italiano(IT) · [email protected] ·

    美团训练了一个拥有1.6万亿参数的AI模型,未使用英伟达芯片,而是使用了国产芯片。该模型开源MIT,在SWE-bench上达到59.5%

    Meituan ha addestrato un modello AI da 1.600 miliardi di parametri senza usare chip NVIDIA — usando chip cinesi domestici. È open source MIT. 59.5% su SWE-bench Pro. Più di GPT-5.5. La notizia non è solo tecnica: dimostra che i divieti americani all'export di chip rallentano, ma …