updated with new data

app.py

@@ -115,6 +115,7 @@ st.title('Interactive Portal for Analyzing Open Source Large Language Models')
 st.markdown("""***Last updated March 17th 2024***""")
 st.markdown("""**It has not been updated to correctly extract the parameter number from mixture of experts models.**""")
 st.markdown("""**As of 04-17-2024, this data was not generated using the chat templates. Smaller models are especially sensative to this and other aspects related to the format of the inputs.**""")
+st.markdown("""For a good sense of general relative performance of models, I would highly reccomend this leaderboard https://chat.lmsys.org/""")
 st.markdown("""
             This page provides a way to explore the results for individual tasks and compare models across tasks. Data for the benchmarks hellaswag, arc_challenge, and truthfulQA have also been included for comparison. 
             There are 57 tasks in the MMLU evaluation that cover a wide variety of subjects including Science, Math, Humanities, Social Science, Applied Science, Logic, and Security.