Update README.md

README.md

@@ -13,11 +13,11 @@ base_model:
 license: apache-2.0
 ---
 
-# NeuralKrishna-7B-v4
+# NeuralSirKrishna-7b
 
 ## Try here!
 [Talking to Sir Neural Krishna 7b](https://huggingface.co/spaces/Kukedlc/Neural-Sir-Krishna-7b-GGUF)
-![NeuralKrishna-7B-v3](https://raw.githubusercontent.com/kukedlc87/imagenes/main/DALL%C2%B7E%202024-02-17%2005.09.10%20-%20Imagine%20a%20large%20language%20model%20represented%20as%20an%20abstract%2C%20ethereal%20entity%2C%20made%20of%20swirling%20codes%20and%20data%20streams%2C%20lying%20on%20a%20classic%20psychoanalysis.webp)
+![NeuralSirKrishna-7b](https://raw.githubusercontent.com/kukedlc87/imagenes/main/DALL%C2%B7E%202024-02-17%2005.09.10%20-%20Imagine%20a%20large%20language%20model%20represented%20as%20an%20abstract%2C%20ethereal%20entity%2C%20made%20of%20swirling%20codes%20and%20data%20streams%2C%20lying%20on%20a%20classic%20psychoanalysis.webp)
 
 NeuralKrishna-7B-v4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [Kukedlc/NeuralKrishna-7B-v3](https://huggingface.co/Kukedlc/NeuralKrishna-7B-v3)
@@ -78,7 +78,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "Kukedlc/NeuralKrishna-7B-v4"
+model = "Kukedlc/NeuralSirKrishna-7b"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)