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**Pleias-
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Like all the base and specialized models from Pleias, Pleias-Nano-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
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## Description
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Pleias-
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## Training
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## Update
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**Pleias-360m-Preview** is an early preview of a 360 million parameter base model trained by Pleias on Common Corpus.
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Like all the base and specialized models from Pleias, Pleias-Nano-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
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## Description
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Pleias-360m-Preview is a transformer base model, entirely pretrained from scratch, using an architecture similar to Llama/GPT-Neox for easier deployment/inference.
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It includes the following features, that would apply to any responsibly trained variant:
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* Only trained on open data under a permissible license and in compliance with the European AI Act. By design, all Pleias model are unable to output copyrighted content.
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* Extensive multilingual support for main European languages.
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* A new tokenizer designed for enhanced document processing tasks and better multilingual support.
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* Extremely low level of toxicity and problematic content.
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Pleias-360m-Preview has demonstrated unusual abilities for multilingual generation in its size range. Fully supported languages include English, French, Spanish, German, Italian, Dutch, Latin and Portuguese.
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## Recommended use
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As a base model, Pleias-360m-Preview is only able to run continuation prompts.
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Text generation is currently able to support a range of creative writing tasks in multiple European languages. For more consistent results we recommend using a low or null temperature with a slight repetition penalty (1.1-1.2).
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Pleias-360m-Preview has been successfully adapted for continuous pretraining and full-fine-tuning on document processing tasks such as RAG, translation or OCR correction. Given the small size of the model we do not recommend fine-tuning methods based on LORA.
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## Training
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Pleias-360m-Preview was fully pretrained at Jean Zay on 64 h100s for 46 hours with Nanotron, the pretraining library from HuggingFace. We provide the complete settings as a yaml file as part of our release.
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Training schedule includes 518,000 steps (batch size 1,024) on a filtered and enhanced version of Common Corpus (1,086,324,736,000 tokens).
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## Update
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Pleias-360m-Preview is currently released as an early preview.
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The model will undergo several more round of post-training to enhance reasoning capacities and fine-tunability as well as in anticipation of a generalist instruct version.
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