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Trained a ~20K LM (probably smallest) that can still write stories
A developer has trained a 19,969-parameter language model called MacroStories, which is significantly smaller than existing models like TinyStories and AlexNet. This model, weighing 81 KB FP32, can generate coherent 100-300 word narratives with a goal, problem, actions, and resolution, despite its small size. It operates efficiently on a CPU without needing a GPU, demonstrating an effort to push the lower bound for narrative generation.
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收录当时偏移:UTC+02026年10月7日 13:00 UTC
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- 2026年10月7日 13:00
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