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  **TinyWay-1.2.0** is a lightweight GPT-style causal language model (~110M parameters) trained from scratch on a mixed streaming corpus (web text, stories, and code).
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  The model is designed for research, experimentation, and educational purposes, with an emphasis on transparent architecture and reproducible training.
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- > ⚡ Trained end-to-end on Kaggle using a custom PyTorch pipeline with mixed precision, gradient accumulation, and streaming datasets.
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  * HuggingFace 🤗
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  * PyTorch
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- * Kaggle
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  * GPT-2 tokenizer
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  * Open research community
 
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  **TinyWay-1.2.0** is a lightweight GPT-style causal language model (~110M parameters) trained from scratch on a mixed streaming corpus (web text, stories, and code).
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  The model is designed for research, experimentation, and educational purposes, with an emphasis on transparent architecture and reproducible training.
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+ > ⚡ Trained end-to-end using a custom PyTorch pipeline with mixed precision, gradient accumulation, and streaming datasets.
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  ---
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  * HuggingFace 🤗
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  * PyTorch
 
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  * GPT-2 tokenizer
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  * Open research community