Update README.md

README.md

@@ -2,42 +2,24 @@
 tags:
 - merge
 - mergekit
-- lazymergekit
-- bofenghuang/vigostral-7b-chat
-- jpacifico/French-Alpaca-7B-Instruct-beta
+- french
+- french-alpaca
 base_model:
-- bofenghuang/vigostral-7b-chat
 - jpacifico/French-Alpaca-7B-Instruct-beta
+- bofenghuang/vigostral-7b-chat
 ---
 
-# French-Vigalpaca-7B-ties
-
-French-Vigalpaca-7B-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [bofenghuang/vigostral-7b-chat](https://huggingface.co/bofenghuang/vigostral-7b-chat)
-* [jpacifico/French-Alpaca-7B-Instruct-beta](https://huggingface.co/jpacifico/French-Alpaca-7B-Instruct-beta)
-
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: mistralai/Mistral-7B-Instruct-v0.2
-    # no parameters necessary for base model
-  - model: bofenghuang/vigostral-7b-chat
-    parameters:
-      density: 0.5
-      weight: 0.5
-  - model: jpacifico/French-Alpaca-7B-Instruct-beta
-    parameters:
-      density: 0.5
-      weight: 0.3
-merge_method: ties
-base_model: mistralai/Mistral-7B-Instruct-v0.2
-parameters:
-  normalize: true
-dtype: float16
+# French-Vigalpaca-7B-slerp
+
+French-Vigalpaca-7B-slerp is a merge of the following models:  
+jpacifico/French-Alpaca-7B-Instruct-beta  
+bofenghuang/vigostral-7b-chat  
+  
+base model : jpacifico/French-Alpaca-7B-Instruct-beta  
+
 ```
 
-## 💻 Usage
+## Usage
 
 ```python
 !pip install -qU transformers accelerate
@@ -46,7 +28,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "jpacifico/French-Vigalpaca-7B-ties"
+model = "jpacifico/French-Vigalpaca-7B-slerp"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)