Rearrange and link to open-llms repo

README.md

@@ -6,18 +6,6 @@ A joint community effort to create one central leaderboard for LLMs. Contributio
 
 https://llm-leaderboard.streamlit.app/
 
-## How to Contribute
-
-We are always happy for contributions! You can contribute by the following:
-
-- table work (don't forget the links):
-    - filling missing entries
-    - adding a new model as a new row to the leaderboard. Please keep alphabetic order.
-    - adding a new benchmark as a new column in the leaderboard and add the benchmark to the benchmarks table. Please keep alphabetic order.
-- code work:
-    - improving the existing code
-    - requesting and implementing new features
-
 ## Leaderboard
 
 | Model Name                                                                             | Commercial Use? | Chatbot Arena Elo                                | HumanEval-Python (pass@1)                                                      | LAMBADA (zero-shot)                           | MMLU (zero-shot)                              | TriviaQA (zero-shot)                          |
@@ -68,6 +56,22 @@ We are always happy for contributions! You can contribute by the following:
 | MMLU              | Hendrycks et al. | https://github.com/hendrycks/test        | "The benchmark covers 57 subjects across STEM, the humanities, the social sciences, and more. It ranges in difficulty from an elementary level to an advanced professional level, and it tests both world knowledge and problem solving ability. Subjects range from traditional areas, such as mathematics and history, to more specialized areas like law and ethics. The granularity and breadth of the subjects makes the benchmark ideal for identifying a model’s blind spots." (Source: "https://paperswithcode.com/dataset/mmlu")                                             |
 | TriviaQA          | Joshi et al.     | https://arxiv.org/abs/1705.03551v2       | "We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions." (Source: https://arxiv.org/abs/1705.03551v2)                                                                                                                                                                              |
 
+## How to Contribute
+
+We are always happy for contributions! You can contribute by the following:
+
+- table work (don't forget the links):
+    - filling missing entries
+    - adding a new model as a new row to the leaderboard. Please keep alphabetic order.
+    - adding a new benchmark as a new column in the leaderboard and add the benchmark to the benchmarks table. Please keep alphabetic order.
+- code work:
+    - improving the existing code
+    - requesting and implementing new features
+
+## More Open LLMs
+
+If you are interested in an overview about open llms for commercial use and finetuning, check out the [open-llms](https://github.com/eugeneyan/open-llms) repository.
+
 ## Sources
 
 The results of this leaderboard are collected from the individual papers and published results of the model authors. For each reported value, the source is added as a link.