Update README.md

README.md

@@ -160,8 +160,57 @@ The seed for this merge is 176
 ### Models Merged
 
 The following models were included in the merge:
+* [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
+* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
+* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser)
+* [senseable/garten2-7b](https://huggingface.co/senseable/garten2-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+
+  - model: cognitivecomputations/WestLake-7B-v2-laser
+    parameters:
+      density: 0.58
+      weight:  [0.3877, 0.1636, 0.186, 0.0502]
+
+
+
+  - model: senseable/garten2-7b
+    parameters:
+      density: 0.58
+      weight:  [0.234, 0.2423, 0.2148, 0.2775]
+
+
+
+  - model: berkeley-nest/Starling-LM-7B-alpha
+    parameters:
+      density: 0.58
+      weight:  [0.1593, 0.1573, 0.1693, 0.3413]
+
+
+
+  - model: mlabonne/AlphaMonarch-7B
+    parameters:
+      density: 0.58
+      weight:  [0.219, 0.4368, 0.4299, 0.331]
+
+
+
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
 dtype: bfloat16
 
+```
+
+
 
 
 ### Table of Benchmarks