Update README.md

README.md

@@ -217,7 +217,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
 # Load model and tokenizer
-model_name = "NeuroForge/Wraith-8B"
+model_name = "vanta-research/wraith-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
@@ -302,7 +302,7 @@ ollama run wraith "What is 15 * 37?"
 
 ```bash
 # Download GGUF model
-wget https://huggingface.co/NeuroForge/Wraith-8B/resolve/main/wraith-8b-Q4_K_M.gguf
+wget https://huggingface.co/vanta-research/wraith-8B/resolve/main/wraith-8b-Q4_K_M.gguf
 
 # Run inference
 ./llama-cli -m wraith-8b-Q4_K_M.gguf \
@@ -478,7 +478,7 @@ If you use Wraith-8B in your research or applications, please cite:
   title={Wraith-8B: VANTA Research Entity-001},
   author={VANTA Research},
   year={2025},
-  url={https://huggingface.co/NeuroForge/Wraith-8B},
+  url={https://huggingface.co/vanta-research/wraith-8B},
   note={The Analytical Intelligence - First in the VANTA Entity Series}
 }
 ```