Update README.md

README.md

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 ---
-license: mit
-base_model: mistralai/Mistral-7B-v0.1
+base_model:
+- mistralai/Mistral-7B-v0.1
+- cognitivecomputations/dolphin-2.2.1-mistral-7b
+- HuggingFaceH4/zephyr-7b-beta
+- NousResearch/Hermes-2-Pro-Mistral-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
 
 ---
+# Herdolphyr
+
+This is a quantitized merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
+* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
+* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: HuggingFaceH4/zephyr-7b-beta 
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: NousResearch/Hermes-2-Pro-Mistral-7B
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1 
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```