Update README.md

README.md

@@ -10,9 +10,17 @@ tags:
 
 # WizardLM-2-4x7B-MoE
 
-This is an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). It was made by combining four [WizardLM-2-7B](https://huggingface.co/microsoft/WizardLM-2-7B) models using the random gate mode. Please be sure to set experts per token to 4 for the best results! Context length should be the same as Mistral-7B-Instruct-v0.1 (8k tokens). For instruction templates Vicuna-v1.1 is recommended.
+This is an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). It was made by combining four [WizardLM-2-7B](https://huggingface.co/microsoft/WizardLM-2-7B) models using the random gate mode. Please be sure to set experts per token to 4 for the best results! Context length should be the same as Mistral-7B-Instruct-v0.1 (8k tokens). For instruction templates, Vicuna-v1.1 is recommended.
 
-# Mergekit config:
+# Quanitized versions
+
+Hopefully coming soon.
+
+# Evaluation
+
+I don't expect this model to be that great since it's something that I made as an experiment. However, I will submit it to the Open LLM Leaderboard to see how it matches up against some other models (particularly WizardLM-2-7B and WizardLM-2-70B). 
+
+# Mergekit config
 ```
 base_model: models/WizardLM-2-7B
 gate_mode: random