Update README.md

README.md

@@ -120,13 +120,19 @@ We compare our results to the base Mistral-7B model (using LM Evaluation Harness
 We find **129%** of the base model's performance on AGI Eval, averaging **0.397**.
 As well, we significantly improve upon the official `mistralai/Mistral-7B-Instruct-v0.1` finetuning, achieving **119%** of their performance.
 
-![OpenOrca-Platypus2-13B AGIEval Performance](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrca7BAGIEval.png "AGIEval Performance")
+![AGIEval Performance](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrca7BAGIEval.png "AGIEval Performance")
 
 ## BigBench-Hard Performance
 
 We find **119%** of the base model's performance on BigBench-Hard, averaging **0.416**.
 
-![OpenOrca-Platypus2-13B BigBench-Hard Performance](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrca7BBigBenchHard.png "BigBench-Hard Performance")
+![BigBench-Hard Performance](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrca7BBigBenchHard.png "BigBench-Hard Performance")
+
+## GPT4ALL Leaderboard Performance
+
+We gain a slight edge over our previous releases, again topping the leaderboard, averaging **72.38**.
+
+![GPT4ALL Performance](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca/resolve/main/Images/MistralOrca7BGPT4ALL.png "GPT4ALL Performance")
 
 
 # Dataset