diff --git a/modules/loaders.py b/modules/loaders.py
index 5d3adacf..78601c17 100644
--- a/modules/loaders.py
+++ b/modules/loaders.py
@@ -21,6 +21,7 @@ loaders_and_params = OrderedDict({
         'trust_remote_code',
         'no_use_fast',
         'use_flash_attention_2',
+        'use_eager_attention',
         'alpha_value',
         'compress_pos_emb',
         'disable_exllama',
diff --git a/modules/models.py b/modules/models.py
index da741cb0..5db067dc 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -146,6 +146,9 @@ def huggingface_loader(model_name):
     if shared.args.force_safetensors:
         params['force_safetensors'] = True
 
+    if shared.args.use_eager_attention:
+        params['attn_implementation']  = 'eager'
+
     config = AutoConfig.from_pretrained(path_to_model, trust_remote_code=shared.args.trust_remote_code)
 
     if 'chatglm' in model_name.lower():
diff --git a/modules/shared.py b/modules/shared.py
index ebbfc268..e04c549a 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -106,6 +106,7 @@ group.add_argument('--trust-remote-code', action='store_true', help='Set trust_r
 group.add_argument('--force-safetensors', action='store_true', help='Set use_safetensors=True while loading the model. This prevents arbitrary code execution.')
 group.add_argument('--no_use_fast', action='store_true', help='Set use_fast=False while loading the tokenizer (it\'s True by default). Use this if you have any problems related to use_fast.')
 group.add_argument('--use_flash_attention_2', action='store_true', help='Set use_flash_attention_2=True while loading the model.')
+group.add_argument('--use_eager_attention', action='store_true', help='Set attn_implementation= eager while loading the model.')
 
 # bitsandbytes 4-bit
 group = parser.add_argument_group('bitsandbytes 4-bit')
diff --git a/modules/ui.py b/modules/ui.py
index b9267833..b1c1cf6d 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -69,6 +69,7 @@ def list_model_elements():
         'trust_remote_code',
         'no_use_fast',
         'use_flash_attention_2',
+        'use_eager_attention',
         'load_in_4bit',
         'compute_dtype',
         'quant_type',
diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py
index 3ebcd126..df53c859 100644
--- a/modules/ui_model_menu.py
+++ b/modules/ui_model_menu.py
@@ -115,6 +115,7 @@ def create_ui():
                             shared.gradio['load_in_4bit'] = gr.Checkbox(label="load-in-4bit", value=shared.args.load_in_4bit)
                             shared.gradio['use_double_quant'] = gr.Checkbox(label="use_double_quant", value=shared.args.use_double_quant)
                             shared.gradio['use_flash_attention_2'] = gr.Checkbox(label="use_flash_attention_2", value=shared.args.use_flash_attention_2, info='Set use_flash_attention_2=True while loading the model.')
+                            shared.gradio['use_eager_attention'] = gr.Checkbox(label="use_eager_attention", value=shared.args.use_eager_attention, info='Set attn_implementation= eager while loading the model.')                          
                             shared.gradio['flash_attn'] = gr.Checkbox(label="flash_attn", value=shared.args.flash_attn, info='Use flash-attention.')
                             shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", value=shared.args.auto_devices)
                             shared.gradio['tensorcores'] = gr.Checkbox(label="tensorcores", value=shared.args.tensorcores, info='NVIDIA only: use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards.')