Update README.md

README.md

@@ -27,7 +27,7 @@ model-index:
             name: Training Loss
 ---
 
-# Gradia FP256 Model — Step 10 Checkpoint
+# Gradia FP256 Model
 
 Gradia is an experimental high-precision transformer research project exploring the use of **FP256 (256-bit floating point)** in training language models. This model represents an early proof-of-concept demonstrating ultra-precision training.
 
@@ -111,10 +111,10 @@ If you use Gradia in your research, please cite:
 ```bibtex
 @misc{gradia2025,
   title={Gradia: Ultra-Precision Language Models with FP256 Training},
-  author={The Gradia Project Contributors},
+  author={Entelijans, GLCTC Corp},
   year={2025},
   note={Experimental FP256 transformer implementation},
-  url={https://huggingface.co/Gradia}
+  url={https://huggingface.co/ENTELIJANS}
 }
 ```