Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- PleIAs/common_corpus
+language:
+- en
+- fr
+- es
+- de
+- it
+- la
+- nl
+- pl
+---
+**Pleias-1b-Preview** is an early preview of a 1.21 billion parameters base model trained by Pleias with Tracto AI on Common Corpus.
+
+Like all the base and specialized models from Pleias, Pleias-1b-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
+
+## Description
+Pleias-1b-Preview is a transformer base model, entirely pretrained from scratch, using an architecture similar to Llama/GPT-Neox for easier deployment/inference.
+
+It includes the following features, that would apply to any responsibly trained variant:
+* 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.
+* Extensive multilingual support for main European languages.
+* A new tokenizer designed for enhanced document processing tasks and better multilingual support.
+* Extremely low level of toxicity and problematic content.
+
+Pleias-1b-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. 
+
+Given its size, Pleias-1b-Preview can run on CPU without any compression loss. We provide a first GGUF variant as part of our release.
+
+## Recommended use
+As a base model, Pleias-1b-Preview is only able to run continuation prompts.
+
+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 (1.2).
+
+Pleias-1b-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.
+
+## Example
+
+
+## Training
+Pleias-1b-Preview was fully pretrained with Tracto AI on 192 h100s for 5 days. Pretraining code relied on Nanotron, the HuggingFace library. We provide the complete settings as a yaml file as part of our release. 
+
+Training schedule includes 518,000 steps (batch size 1,024) on over three epochs (nearly 5 trillions tokens):
+* A lightly filtered version of Common Corpus (1.6 trillion tokens)
+* A filtered and enhanced version of Common Corpus (1,086,324,736,000 tokens).
+* A repeat of the previous set.
+
+## Update
+Pleias-1b-Preview is currently released as an early preview.
+
+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.