Update README.md

README.md

@@ -26,9 +26,7 @@ load_dataset("tasksource/data", "glue/rte",max_rows=30_000)
 
 Text encoder pretrained on tasksource reached state-of-the-art results: [🤗/deberta-v3-base-tasksource-nli](https://hf.co/sileod/deberta-v3-base-tasksource-nli)
 
-Tasksource pretraining is notably helpful for RLHF reward modeling or any kind of classification, including zero-shot. You can also find a large, and a multilingual version.
-
-[u/conceptofmind](https://github.com/conceptofmind) also trained Llama on tasksource: [🤗/conceptofmind/Tasksource-Open-Llama-13b](https://hf.co/conceptofmind/Tasksource-Open-Llama-13b)
+Tasksource pretraining is notably helpful for RLHF reward modeling or any kind of classification, including zero-shot. You can also find a large and a multilingual version.
 
 ### tasksource-instruct