Update README.md

README.md

@@ -36,6 +36,17 @@ Standard RAG models often struggle due to:
 - Information Overload – The presence of irrelevant chunks can distract the model, leading to errors or hallucinations.
 - Lack of Alignment – Most generation models are not explicitly trained to prioritize relevant content over noise.
 
+### Need a More Faster Inference?
+Our Ext2Gen model writes the sentences related to the query first before generating the answer. So, it needs more latency before getting the answer. 
+
+If you don't want to see the extracted sentences but want to directly see the answer with low latency, use its variant we call Gen-8B-R2.
+
+Link: https://huggingface.co/DISLab/Gen-8B-R2
+
+This model skips the sentence extraction phase but remains its high robustness comparable to Ext2Gen-8B-R2.
+
+
+
 ### Prompt
 
 - query: the query to answer