Update README.md

README.md

@@ -1,9 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- merge
-- mergekit
-- lazymergekit
 - meta-math/MetaMath-Mistral-7B
 - mistralai/Mistral-7B-v0.1
 - EmbeddedLLM/Mistral-7B-Merge-14-v0.2
@@ -11,33 +8,9 @@ tags:
 
 # mathexpert7b
 
-mathexpert7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+mathexpert7b is a merge of the following models further aligned by Direct preference optimization.
 * [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
 * [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
 * [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
 
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: mistralai/Mistral-7B-v0.1
-    # No parameters necessary for base model
-  - model: meta-math/MetaMath-Mistral-7B
-    parameters:
-      density: 0.53
-      weight: 0.4
-  - model: mistralai/Mistral-7B-v0.1
-    parameters:
-      density: 0.53
-      weight: 0.3
-  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
-    parameters:
-      density: 0.53
-      weight: 0.3
-merge_method: dare_ties
-base_model: mistralai/Mistral-7B-v0.1
-parameters:
-  int8_mask: true
-dtype: bfloat16
-
 ```