Update README.md

README.md

@@ -1,68 +1,16 @@
 ---
-base_model:
-- NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
-- NeuralNovel/Gecko-7B-v0.1-DPO
-tags:
-- mergekit
-- merge
+
 license: apache-2.0
 
 datasets:
-- Intel/orca_dpo_pairs
-- NeuralNovel/Neural-Story-v1
-
+- NeuralNovel/Neural-DPO
 ---
 
 
 ![tiger](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/a9GqRTNoGZQsRVU-C6XRO.jpeg)
 
 
-# Tiger-7b-v0.1
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-[Join our Discord!](https://discord.gg/Qge8Ds9C)
-
-## Metrics
-
-
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/Z58bB5sYr3pyE2Ilbk7Dk.png)
-
-
-
-### Merge Method
-
-This model was merged using the SLERP merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story)
-* [NeuralNovel/Gecko-7B-v0.1-DPO](https://huggingface.co/NeuralNovel/Gecko-7B-v0.1-DPO)
-# merge
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-
-slices:
-  - sources:
-      - model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
-        layer_range: [0, 32]
-      - model: NeuralNovel/Gecko-7B-v0.1-DPO
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5
-dtype: bfloat16
+# Tiger-7b-v0.1-Laser-DPO