Update README.md

README.md

@@ -23,7 +23,8 @@ We use [OpenChat](https://huggingface.co/openchat) packing, trained with [Axolot
 This release is trained on a curated filtered subset of most of our GPT-4 augmented data.
 It is the same subset of our data as was used in our [OpenOrcaxOpenChat-Preview2-13B model](https://huggingface.co/Open-Orca/OpenOrcaxOpenChat-Preview2-13B).
 
-HF Leaderboard evals place this model with >112% the performance of the base LLongMA2-13b-16k model we tuned on top of.
+HF Leaderboard evals place this model as #1 for all 13B long context models at release time.
+We achieve >112% the performance of the base LLongMA2-13b-16k model we tuned on top of.
 As well, we preserve >98% of the performance of the OpenOrcaxOpenChat-Preview2-13B model we share datasets with, while extending the context to 16k.
 
 We did this training as part of testing setup of our H100 cluster.