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1.36B K-5-bounded base model (pretraining only).
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Part of the **LittleLearner** scale-up study (*pedagogically-controlled knowledge exposure*): Qwen3 dense LMs trained on a corpus filtered to U.S. K-5 material (**bounded**) vs an unfiltered FineWeb-Edu corpus (**unbounded**), to measure what an interpretable knowledge boundary costs and grants.
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## Model
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- **Architecture:** Qwen3 dense (`Qwen3ForCausalLM`).
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1.36B K-5-bounded base model (pretraining only).
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Part of the [**LittleLearner**](https://arxiv.org/abs/2608.13545) scale-up study (*pedagogically-controlled knowledge exposure*): Qwen3 dense LMs trained on a corpus filtered to U.S. K-5 material (**bounded**) vs an unfiltered FineWeb-Edu corpus (**unbounded**), to measure what an interpretable knowledge boundary costs and grants.
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## Model
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- **Architecture:** Qwen3 dense (`Qwen3ForCausalLM`).
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