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thumbnail: "https://github.com/sberbank-ai/ru-gpts"
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# rugpt3small\_based\_on\_gpt2
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Model was trained with sequence length 1024 using transformers by [SberDevices](https://sberdevices.ru/) team on 80B tokens around 3 epoch. After that model was finetuned on 2048 context.
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Total training time took around one week on 32 GPUs.
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# Authors
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+ NLP core team RnD [Telegram channel](https://t.me/nlpcoreteam):
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+ Dmitry Zmitrovich
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thumbnail: "https://github.com/sberbank-ai/ru-gpts"
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# rugpt3small\_based\_on\_gpt2 safetensors variant
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Model was trained with sequence length 1024 using transformers by [SberDevices](https://sberdevices.ru/) team on 80B tokens around 3 epoch. After that model was finetuned on 2048 context.
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Total training time took around one week on 32 GPUs.
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# Authors
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+ NLP core team RnD [Telegram channel](https://t.me/nlpcoreteam):
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+ Dmitry Zmitrovich
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+ Safetensors variant by .[Sashkanik13](https://huggingface.co/Sashkanik13):
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