Update README.md

README.md

@@ -27,22 +27,21 @@ tags:
 <img src="https://www.grag.ai/wp-content/uploads/2024/12/GRAG-ICON-TO-WORDLOGO-Animation_Loop-small-ezgif.com-video-to-gif-converter.gif" alt="GRAG Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
 
-# GRAG-PHI-3.5-MINI-4B-SFT-HESSIAN-AI
+# GRAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI
 
 <!-- Provide a quick summary of what the model is/does. -->
 
 **GRAG** (**G**erman **R**etrieval **A**ugmented **G**eneration) models are designed for the German-speaking market, enabling innovation and AI solutions to drive German research collaboration in business-focused Generative AI by 2025
 
-Our GRAG-PHI-SFT model are trained on this **[GRAG-SFT](https://huggingface.co/datasets/avemio/GRAG-SFT-ShareGPT-HESSIAN-AI) dataset.**
 
 ## Model Details
 
 The core models released in this batch are the following: 
 | Size | Training Tokens | 
 |------|--------|
-| [GRAG-Phi-CPT](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-CPT-HESSIAN-AI)   | 507.47 million |
-| [GRAG-Phi-SFT](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-SFT-HESSIAN-AI) |  2.03 billion  |  
-| [GRAG-Phi-ORPO](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-ORPO-HESSIAN-AI) |  2.0577 billion  | 
+| [GRAG-PHI-CPT](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-CPT-HESSIAN-AI)   | 507.47 million |
+| [GRAG-PHI-SFT](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-SFT-HESSIAN-AI) |  2.03 billion  |  
+| [GRAG-PHI-ORPO](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-ORPO-HESSIAN-AI) |  2.0577 billion  | 
 
 ### Model Description
 
@@ -52,23 +51,9 @@ The core models released in this batch are the following:
 - **Supported by:** Hessian AI
 - **Model type:** a Transformer style autoregressive language model.
 - **Language(s) (NLP):** German, English
-- **License:** The code and model are released under Apache 2.0.
+- **License:** The code and model are released under MIT.
 - **Contact:** [grag@avemio.digital](mailto:grag@avemio.digital)
 
-
-### Model Sources
-
-<!-- Provide the basic links for the model. -->
-
-- **Project Page:**
-- **Repositories:** 
-    - Training: 
-    - Evaluation code: 
-- **Technical blog post:** 
-<!-- - **Press release:** TODO -->
-
-
-
 ## Merge Details
 ### Merge Method
 
@@ -113,7 +98,7 @@ Now, proceed as usual with HuggingFace:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
  
-model_name = "avemio/GRAG-PHI-3.5-MINI-4B-SFT-HESSIAN-AI"
+model_name = "avemio/GRAG-PHI-3.5-MINI-4B-MERGED-HESSIAN-AI"
  
 model = AutoModelForCausalLM.from_pretrained(
     model_name,