Update README.md

README.md

@@ -16,12 +16,12 @@ language:
   <img src="https://raw.githubusercontent.com/Pleias/logos/d6152d7943905da32a1e04fdfd7708ed9c7eed5e/PleIAs%201_0%20Full%20Logo%20(Black).png" style="width: 80%; margin: 0 auto; display: inline-block;"/>
 </div>
 
-**Pleias-nano-1b-Preview** is an early preview of a 1.21 billion parameters base model trained by [Pleias](https://huggingface.co/PleIAs) with [Tracto AI](https://tracto.ai/) on [Common Corpus](https://huggingface.co/datasets/PleIAs/common_corpus).
+**Pleias-nano-1.2b-Preview** is an early preview of a 1.21 billion parameters base model trained by [Pleias](https://huggingface.co/PleIAs) with [Tracto AI](https://tracto.ai/) on [Common Corpus](https://huggingface.co/datasets/PleIAs/common_corpus).
 
-Like all the base and specialized models from Pleias, Pleias-nano-1b-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
+Like all the base and specialized models from Pleias, Pleias-nano-1.2b-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
 
 ## Description
-Pleias-nano-1b-Preview is a transformer base model, entirely pretrained from scratch, using an architecture similar to Llama/GPT-Neox for easier deployment/inference.
+Pleias-nano-1.2b-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.
@@ -29,22 +29,22 @@ It includes the following features, that would apply to any responsibly trained
 * A new tokenizer designed for enhanced document processing tasks and better multilingual support.
 * Extremely low level of toxicity and problematic content.
 
-Pleias-nano-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. 
+Pleias-nano-1.2b-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-nano-1b-Preview can run on CPU without any compression loss. We provide a first GGUF variant as part of our release.
+Given its size, Pleias-nano-1.2b-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-nano-1b-Preview is only able to run continuation prompts.
+As a base model, Pleias-nano-1.2b-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-nano-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.
+Pleias-nano-1.2b-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-nano-1b-Preview was fully pretrained on TractoAI on ISEG GPU cluster by Nebius AI on 192 h100s for 5 days. Pretraining code relied on [the fork of Nanotron developed by TractoAI](https://github.com/tractoai/nanotron). We provide the complete settings as a yaml file as part of our release. 
+Pleias-nano-1.2b-Preview was fully pretrained on TractoAI on ISEG GPU cluster by Nebius AI on 192 h100s for 5 days. Pretraining code relied on [the fork of Nanotron developed by TractoAI](https://github.com/tractoai/nanotron). 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)
@@ -52,6 +52,6 @@ Training schedule includes 518,000 steps (batch size 1,024) on over three epochs
 * A repeat of the previous set.
 
 ## Update
-Pleias-nano-1b-Preview is currently released as an early preview.
+Pleias-nano-1.2b-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.