Update README.md

README.md

@@ -66,7 +66,7 @@ The model architecture and hyperparameters are the same as for [Lucie-7B](https:
 * max learning rate: 3e-5
 * min learning rate: 3e-6
 
-(<sup>*</sup>As noted above, while Lucie-7B is trained on sequences of 4096 tokens, it maintains the capacity of the base model, Lucie-7B, to handle context sizes of up to 32K tokens.)
+<sup>*</sup>As noted above, while Lucie-7B-Instruct is trained on sequences of 4096 tokens, it maintains the capacity of the base model, Lucie-7B, to handle context sizes of up to 32K tokens.
 
 ## Testing the model
 
@@ -150,7 +150,8 @@ Lucie-7B LLM and its training dataset
 
 ## Acknowledgements
 
-This work was performed using HPC resources from GENCI–IDRIS (Grant 2024-GC011015444).
+This work was performed using HPC resources from GENCI–IDRIS (Grant 2024-GC011015444). We gratefully acknowledge support from GENCI and IDRIS and from Pierre-François Lavallée (IDRIS) and Stephane Requena (GENCI) in particular.
+
 
 Lucie-7B was created by members of [LINAGORA](https://labs.linagora.com/) and the [OpenLLM-France](https://www.openllm-france.fr/) community, including in alphabetical order:
 Olivier Gouvert (LINAGORA),
@@ -173,6 +174,8 @@ and
 Olivier Ferret (CEA) 
 for their helpful input.
 
+Finally, we thank the entire OpenLLM-France community, whose members have helped in diverse ways.
+
 ## Contact
 
 [email protected]