diff --git a/easynmt/models/OpusMT.py b/easynmt/models/OpusMT.py
index 0f1e8eb..72086ed 100644
--- a/easynmt/models/OpusMT.py
+++ b/easynmt/models/OpusMT.py
@@ -1,8 +1,11 @@
+from lib2to3.pgen2 import token
+from lib2to3.pgen2.tokenize import tokenize
 import time
 from transformers import MarianMTModel, MarianTokenizer
 import torch
 from typing import List
 import logging
+import os
 
 logger = logging.getLogger(__name__)
 
@@ -12,7 +15,10 @@ def __init__(self, easynmt_path: str = None, max_loaded_models: int = 10):
         self.models = {}
         self.max_loaded_models = max_loaded_models
         self.max_length = None
-
+        self.easynmt_path = easynmt_path
+        self.src_lang = ""
+        self.trgt_lang = ""
+    
     def load_model(self, model_name):
         if model_name in self.models:
             self.models[model_name]['last_loaded'] = time.time()
@@ -36,7 +42,21 @@ def load_model(self, model_name):
             return tokenizer, model
 
     def translate_sentences(self, sentences: List[str], source_lang: str, target_lang: str, device: str, beam_size: int = 5, **kwargs):
-        model_name = 'Helsinki-NLP/opus-mt-{}-{}'.format(source_lang, target_lang)
+        # model_name = 'Helsinki-NLP/opus-mt-{}-{}'.format(source_lang, target_lang)
+        
+        ################################################
+
+        # This is for the loading of the already downloaded models available in download_path
+        # we specify in the application's algo file as:- 
+        # Example for loading pre downloaded opus-mt models
+        # model_trans = app.imports.EasyNMT(download_path)
+
+        self.src_lang = source_lang
+        self.trgt_lang = target_lang
+        model_name = os.path.join(self.easynmt_path,self.src_lang + "-" + self.trgt_lang)
+       
+       
+        ################################################
         tokenizer, model = self.load_model(model_name)
         model.to(device)
 
@@ -52,5 +72,26 @@ def translate_sentences(self, sentences: List[str], source_lang: str, target_lan
         return output
 
     def save(self, output_path):
-        return {"max_loaded_models": self.max_loaded_models}
+        ########################################################################################
+
+        # Modified by - Aniket Sood
+
+
+        # This function will not be required for normal run
+        # but can be used in case we want to save the models in the desired path.
+
+        # To download the models online and save them in any folder we want defined by output_path (eg - output_path - cache_folder/)
+        # or alternatively user can download from online sources also and store it in any folder and provide its .
+        save_path = os.path.join(output_path,self.src_lang + "-" + self.trgt_lang)
+        try:
+            os.mkdir(save_path)
+        except OSError as error:
+            print(error)      
+        self.models['Helsinki-NLP/opus-mt-' + self.src_lang + '-' + self.trgt_lang]['model'].save_pretrained(save_path)
+        self.models['Helsinki-NLP/opus-mt-' + self.src_lang + '-' + self.trgt_lang]['tokenizer'].save_pretrained(save_path)
+
+        ########################################################################################    
+        return {
+            "max_loaded_models": self.max_loaded_models
+        }