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**MAP-NEO Mini** is a 253M parameter autoregressive language model built from scratch with modern architectural improvements. It demonstrates that high-quality language models can be trained efficiently on modest hardware while achieving competitive performance through careful data curation and architectural choices.
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- **Developed by**:
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- **Model type**: Autoregressive Language Model
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- **Language(s)**: English
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- **License**: MIT
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**MAP-NEO Mini** is a 253M parameter autoregressive language model built from scratch with modern architectural improvements. It demonstrates that high-quality language models can be trained efficiently on modest hardware while achieving competitive performance through careful data curation and architectural choices.
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- **Developed by**: Antony Austin
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- **Model type**: Autoregressive Language Model
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- **Language(s)**: English
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- **License**: MIT
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