Update README.md

README.md

@@ -14,7 +14,7 @@ language:
 ---
 **Pleias-360m-Preview** is an early preview of a 360 million parameter base model trained by Pleias on Common Corpus.
 
-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.
+Like all the base and specialized models from Pleias, Pleias-360m-Preview has only been trained on open data out of copyright (public domain) or under a permissible license.
 
 ## Description
 Pleias-360m-Preview is a transformer base model, entirely pretrained from scratch, using an architecture similar to Llama/GPT-Neox for easier deployment/inference.
@@ -27,6 +27,8 @@ It includes the following features, that would apply to any responsibly trained
 
 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. 
 
+Given its size, Pleias-360m-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-360m-Preview is only able to run continuation prompts.
 
@@ -34,6 +36,9 @@ Text generation is currently able to support a range of creative writing tasks i
 
 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.
 
+## Inference example:
+
+
 ## Training
 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.