Update README.md

README.md

@@ -10,9 +10,9 @@ base_model:
 - mlabonne/Daredevil-8B-abliterated
 ---
 
-# Llama-3-8B-slerp-262k-ties
+# Llama-3-8B-combo-merge
 
-Llama-3-8B-slerp-262k-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+Llama-3-8B-combo-merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [pankajmathur/orca_mini_v5_8b_dpo](https://huggingface.co/pankajmathur/orca_mini_v5_8b_dpo)
 * [mlabonne/Daredevil-8B-abliterated](https://huggingface.co/mlabonne/Daredevil-8B-abliterated)
 
@@ -20,7 +20,7 @@ Llama-3-8B-slerp-262k-ties is a merge of the following models using [LazyMergeki
 
 ```yaml
 models:
-  - model: DavidAhn/Llama-3-8B-slerp-262k-SauerkrautLM
+  - model: DavidAhn/Llama-3-8B-combo-merge
     # no parameters necessary for base model
   - model: pankajmathur/orca_mini_v5_8b_dpo
     parameters:
@@ -31,7 +31,7 @@ models:
       density: 0.5
       weight: 0.3
 merge_method: ties
-base_model: DavidAhn/Llama-3-8B-slerp-262k-SauerkrautLM
+base_model: DavidAhn/Llama-3-8B-combo-merge
 parameters:
   normalize: true
 dtype: float16
@@ -46,7 +46,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "DavidAhn/Llama-3-8B-slerp-262k-ties"
+model = "DavidAhn/Llama-3-8B-combo-merge"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)