Update README.md

README.md

@@ -19,7 +19,7 @@ pipeline_tag: text-generation
 library_name: transformers
 ---
 
-![Zunich Banner](https://cdn.ruben-roy.com/AI/Zurich/img/banner-7b-500k.png)
+![Zunich Banner](https://cdn.ruben-roy.com/AI/Zurich/img/banner-7B-500k.png)
 
 # Zurich 7B GammaCorpus v2-500k 
 *A Qwen 2.5 model fine-tuned on the GammaCorpus dataset*
@@ -57,7 +57,7 @@ Here is a code snippet with `apply_chat_template` to show you how to load the to
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "rubenroy/Zurich-7b-GCv2-500k"
+model_name = "rubenroy/Zurich-7B-GCv2-500k"
 
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
@@ -68,7 +68,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 prompt = "How tall is the Eiffel tower?"
 messages = [
-    {"role": "system", "content": "You are Zurich, an AI assistant built on the Qwen 2.5 7b model developed by Alibaba Cloud, and fine-tuned by Ruben Roy. You are a helpful assistant."},
+    {"role": "system", "content": "You are Zurich, an AI assistant built on the Qwen 2.5 7B model developed by Alibaba Cloud, and fine-tuned by Ruben Roy. You are a helpful assistant."},
     {"role": "user", "content": prompt}
 ]
 text = tokenizer.apply_chat_template(