diff --git a/modules/shared.py b/modules/shared.py
index 57649114..b13156b7 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -61,7 +61,7 @@ group.add_argument('--no-cache', action='store_true', help='Set use_cache to Fal
 group.add_argument('--trust-remote-code', action='store_true', help='Set trust_remote_code=True while loading the model. Necessary for some models.')
 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('--attn-implementation', type=str, default='sdpa', help='Attention implementation. Valid options: sdpa, eager, flash_attention_2.')
+group.add_argument('--attn-implementation', type=str, default='eager', help='Attention implementation. Valid options: eager, sdpa, flash_attention_2.')
 group.add_argument('--torch-compile', action='store_true', help='Compile the model with torch.compile for improved performance.')
 
 # bitsandbytes 4-bit
diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py
index 2018a943..365ca7e7 100644
--- a/modules/ui_model_menu.py
+++ b/modules/ui_model_menu.py
@@ -44,7 +44,7 @@ def create_ui():
                             shared.gradio['gpu_layers'] = gr.Slider(label="gpu-layers", minimum=0, maximum=get_initial_gpu_layers_max(), step=1, value=shared.args.gpu_layers, info='Must be greater than 0 for the GPU to be used. ⚠️ Lower this value if you can\'t load the model.')
                             shared.gradio['ctx_size'] = gr.Slider(label='ctx-size', minimum=256, maximum=131072, step=256, value=shared.args.ctx_size, info='Context length. Common values: 4096, 8192, 16384, 32768, 65536, 131072. ⚠️ Lower this value if you can\'t load the model.')
                             shared.gradio['gpu_split'] = gr.Textbox(label='gpu-split', info='Comma-separated list of VRAM (in GB) to use per GPU. Example: 20,7,7')
-                            shared.gradio['attn_implementation'] = gr.Dropdown(label="attn-implementation", choices=['sdpa', 'eager', 'flash_attention_2'], value=shared.args.attn_implementation, info='Attention implementation.')
+                            shared.gradio['attn_implementation'] = gr.Dropdown(label="attn-implementation", choices=['eager', 'sdpa', 'flash_attention_2'], value=shared.args.attn_implementation, info='Attention implementation.')
                             shared.gradio['cache_type'] = gr.Dropdown(label="cache-type", choices=['fp16', 'q8_0', 'q4_0', 'fp8', 'q8', 'q7', 'q6', 'q5', 'q4', 'q3', 'q2'], value=shared.args.cache_type, allow_custom_value=True, info='Valid options: llama.cpp - fp16, q8_0, q4_0; ExLlamaV2 - fp16, fp8, q8, q6, q4; ExLlamaV3 - fp16, q2 to q8. For ExLlamaV3, you can type custom combinations for separate k/v bits (e.g. q4_q8).')
                         with gr.Column():
                             shared.gradio['vram_info'] = gr.HTML(value=get_initial_vram_info())