Update README.md

README.md

@@ -1,22 +1,42 @@
 ---
+base_model:
+- flemmingmiguel/MBX-7B-v3
+- paulml/NeuralOmniWestBeaglake-7B
+- FelixChao/Faraday-7B
+- paulml/NeuralOmniBeagleMBX-v3-7B
+tags:
+- mergekit
+- merge
 license: apache-2.0
 language:
 - en
-tags:
-- merge
 ---
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/IHjiqZF5wGDzXPkEIAjTt.png)
-# To see what will happen
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/eDLmpTkM4vuk8HiQcUzWv.png)
 
 [Join our Discord!](https://discord.gg/aEGuFph9)
 
 [BASE MODEL HERE](https://huggingface.co/Kquant03/Samlagast-7B-bf16)
 
-A merge using the task_arithmetic method of merging. This is a method my team and I haven't experimented with recently, hopefully this will work well.
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) as a base.
 
-You can see the merge script here:
-```models:
+### Models Merged
+
+The following models were included in the merge:
+* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
+* [paulml/NeuralOmniWestBeaglake-7B](https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B)
+* [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
   - model: paulml/NeuralOmniWestBeaglake-7B
     parameters:
       weight: 1
@@ -35,3 +55,5 @@ parameters:
   normalize: true
   int8_mask: true
 dtype: float16
+
+```