English(EN) Should we plead opensource labs to still produce great non thinking (instruct) models?

呼吁开源AI实验室继续专注于指令微调模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 18:10

Reddit的r/LocalLLaMA社区的一场讨论探讨了开源AI实验室优先发展高级推理能力而非传统指令遵循模型可能带来的弊端。一些用户认为，在指令模式下，拥有广泛推理能力的新模型在某些编码基准测试上的表现可能不如旧版本。这种情绪表明，人们希望继续开发高效、指令微调的模型以供通用使用，而不是仅仅专注于代理或冗长推理能力。 AI

影响表明AI模型的用户需求可能出现分歧，在某些任务上倾向于高效的指令遵循而非复杂的推理。

排序理由 Reddit用户关于AI模型开发优先事项的讨论。

在 r/LocalLLaMA 阅读 →

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r/LocalLLaMA TIER_1 English(EN) · /u/GodComplecs · 2026-10-02 18:10

我们是否应该恳求开源实验室继续生产优秀的非思考（指令）模型？

<div class="md"><p>The results are in, no thinking / instruct mode for new models degrade performance more than on old models such as 3.6 vs 3.8, where 3.6 takes the lead on several coding benches in instruct mode.</p> <p>I would ask the labs to still nicely focus …

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我们是否应该恳求开源实验室继续生产优秀的非思考（指令）模型？

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