English(EN) Testing SmolLM2-135M on my phone Fascinating failure mode: it understands the question perfectly and even starts with the right answer (324m), then completely h

小型语言模型SmolLM2-135M尽管存在幻觉问题，仍表现出强大的理解能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-12 00:34

一位用户正在手机上测试SmolLM2-135M模型，并观察到一个有趣的失效模式。该模型能正确理解问题，并以正确的答案开头，但随后会对其余响应产生幻觉。尽管模型只有1.35亿参数，但它展现出了强大的语言理解能力。 AI

影响证明了即使是非常小的语言模型也能保留重要的语言理解能力，尽管幻觉仍然是一个挑战。

排序理由该条目讨论了特定小型语言模型SmolLM2-135M的性能和局限性，这属于模型能力研究的范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目讨论了特定小型语言模型SmolLM2-135M的性能和局限性，这属于模型能力研究的范畴。[lever_c_demoted from research: 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.
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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-12 00:34

在我的手机上测试SmolLM2-135M 令人着迷的失败模式：它完美理解问题，甚至以正确的答案（324m）开始，然后完全搞砸了

Testing SmolLM2-135M on my phone Fascinating failure mode: it understands the question perfectly and even starts with the right answer (324m), then completely hallucinates the rest 😅 At just 135M params, language understanding seems still strong! Does someone know how low we can …

链接 huggingface.co/…/SmolLM2-135M-Instruct

本文如何被排名

报道来源 [1]

在我的手机上测试SmolLM2-135M 令人着迷的失败模式：它完美理解问题，甚至以正确的答案（324m）开始，然后完全搞砸了

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