Upload README.md with huggingface_hub

README.md

@@ -1,13 +1,12 @@
 ---
-base_model:
-- MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
-- maywell/PiVoT-0.1-Starling-LM-RP
+base_model: []
+library_name: transformers
 tags:
 - mergekit
 - merge
 
 ---
-# PiVot-Noromaid-NSFW-Mistral-7B-GGUF
+# merge
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
@@ -19,8 +18,8 @@ This model was merged using the SLERP merge method.
 ### Models Merged
 
 The following models were included in the merge:
-* [MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1)
-* [maywell/PiVoT-0.1-Starling-LM-RP](https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP)
+* Undi95/Mistral-RP-0.1-7B
+* MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
 
 ### Configuration
 
@@ -29,18 +28,18 @@ The following YAML configuration was used to produce this model:
 ```yaml
 slices:
   - sources:
-      - model: maywell/PiVoT-0.1-Starling-LM-RP
+      - model: Undi95/Mistral-RP-0.1-7B
         layer_range: [0, 32]
       - model: MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
         layer_range: [0, 32]
 merge_method: slerp
-base_model: maywell/PiVoT-0.1-Starling-LM-RP
+base_model: Undi95/Mistral-RP-0.1-7B
 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
+    - value: 0.5 # fallback for rest of tensors
 dtype: bfloat16
 ```