Merge branch 'main' of https://huggingface.co/Tweeties/tweety-7b-dutch-v24a into main

README.md

@@ -4,7 +4,7 @@ language:
 - nl
 library_name: transformers
 ---
-[François Remy](https://fremycompany.com), [Pieter Delobelle](https://pieter.ai), Hayastan Avetisyan, Alfiya Khabibullina, [Miryam de Lhoneux](https://people.cs.kuleuven.be/~miryam.delhoneux/), [Thomas Demeester](https://tdmeeste.github.io)
+[Pieter Delobelle](https://pieter.ai), [François Remy](https://fremycompany.com), [Miryam de Lhoneux](https://people.cs.kuleuven.be/~miryam.delhoneux/), [Thomas Demeester](https://tdmeeste.github.io)
 
 <p align="center"> 
     <img src="https://huggingface.co/DTAI-KULeuven/tweety-7b-dutch/resolve/main/tweety-7b-dutch.png?download=true" alt="Tweety-7b-dutch: A Dutch Large Language Model" width="20%">
@@ -12,7 +12,7 @@ library_name: transformers
 
 # Model Card for tweety-7b-dutch
 
-tweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a [Dutch tokenizer](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch) for better understanding and generation of Dutch text. It's built on the mistral architecture, employing flash attention for efficient processing within a context window of 8192 tokens. Tweety-7b-dutch is trained on the [cleaned Dutch mC4 dataset](https://huggingface.co/datasets/yhavinga/mc4_nl_cleaned), without of instruction finetuning.
+tweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a [Dutch tokenizer](https://huggingface.co/yhavinga/gpt-neo-1.3B-dutch) for better understanding and generation of Dutch text. It's built on the mistral architecture, employing flash attention for efficient processing within a context window of 8192 tokens. Tweety-7b-dutch is trained on the [cleaned Dutch mC4 dataset](https://huggingface.co/datasets/yhavinga/mc4_nl_cleaned), without instruction finetuning.
 
 ## Model Details
 
@@ -20,15 +20,16 @@ tweety-7b-dutch is a foundation model with a focus on the Dutch language, incorp
 
 Our tweety-7b-dutch model has an Apache 2.0 license, encouraging applications in research, content creation, and language analysis.
 
-- **Developed by:** KU Leuven, UGent, the German Centre for Higher Education, and BeCode
-- **Funded by:** VSC (Flemish Supercomputer Center), [Vlaams AI-onderzoeksprogramma](https://www.flandersairesearch.be/nl)
-- **Model type:** Foundation model using the mistral architecture
+- **Developed by:** KU Leuven and UGent
+- **Funded by:** KU Leuven BOF, VSC (Flemish Supercomputer Center), [Vlaams AI-onderzoeksprogramma](https://www.flandersairesearch.be/nl)
+- **Model type:** Foundation model
 - **Language(s) (NLP):** Dutch
 - **License:** Apache 2.0
 
 ## Uses
 
-As a base model, tweety-7b-dutch is primed for direct applications across text generation and understanding within the Dutch language, courtesy of its robust training on a clean dataset.
+As a base model, tweety-7b-dutch is primed for direct applications across text generation and understanding within the Dutch language.
+
 ## Technical Specifications
 
 ### Compute Infrastructure