Update README.md

README.md

@@ -1,4 +1,4 @@
-# Chronos o1 1.5B - Quantum-Classical model
+# Chronos 1.5B - Quantum-Classical model
 
 ![chronos](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/mkH0yazAc13v0gvi04RIF.jpeg)
 
@@ -11,7 +11,7 @@
 
 ## Overview
 
-**Chronos o1 1.5B** is an experimental quantum-enhanced language model that combines:
+**Chronos 1.5B** is an experimental quantum-enhanced language model that combines:
 
 - **VibeThinker-1.5B** as the base transformer model for embedding extraction
 - **Quantum Kernel Methods** for similarity computation
@@ -95,9 +95,9 @@ from sklearn.metrics.pairwise import cosine_similarity
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-tokenizer = AutoTokenizer.from_pretrained("squ11z1/chronos-o1-1.5b")
+tokenizer = AutoTokenizer.from_pretrained("squ11z1/chronos-1.5B")
 model = AutoModel.from_pretrained(
-    "squ11z1/chronos-o1-1.5b",
+    "squ11z1/chronos-1.5B",
     torch_dtype=torch.float16
 ).to(device).eval()
 
@@ -186,12 +186,12 @@ For production use, retrain with larger datasets.
 If you use this model in your research, please cite:
 
 ```bibtex
-@misc{chronos-o1-1.5b,
-  title={Chronos o1 1.5B: Quantum-Enhanced Sentiment Analysis},
+@misc{chronos-1.5b,
+  title={Chronos 1.5B: Quantum-Enhanced Sentiment Analysis},
   author={squ11z1},
   year={2025},
   publisher={Hugging Face},
-  howpublished={\url{https://huggingface.co/squ11z1/chronos-o1-1.5b}}
+  howpublished={\url{https://huggingface.co/squ11z1/chronos-1.5b}}
 }
 ```