Update README.md

README.md

@@ -6,20 +6,21 @@ tags:
 - merge
 
 ---
-# merge-output
+# OrcaHermes-Mistral-70B
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-### Merge Method
-
-This model was merged using the SLERP merge method.
+This model was created by SLERP Merging 2 Miqu Models trained on 2 high preforming datsets
+Just an experiment have not seen much miqu slerps yet.
 
 ### Models Merged
 
 The following models were included in the merge:
-* D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
-* D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+
+[Miqu-Openhermes](https://huggingface.co/alicecomfy/miqu-openhermes-full)
+- Base Miqu Trained on [Openhermes](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
+
+[ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
+- Base Miqu Trained on [Slimorca](https://huggingface.co/datasets/Open-Orca/SlimOrca)
+
 
 ### Configuration
 
@@ -28,12 +29,12 @@ The following YAML configuration was used to produce this model:
 ```yaml
 slices:
   - sources:
-      - model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+      - model: local//path//to//Senku-70B-Full
         layer_range: [0, 80]
-      - model: D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
+      - model: local//path//to//miqu-openhermes-full
         layer_range: [0, 80]
 merge_method: slerp
-base_model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
+base_model: local//path//to//Senku-70B-Full
 parameters:
   t:
     - filter: self_attn