diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile
index f32177b..68e4234 100644
--- a/src/backend/Dockerfile
+++ b/src/backend/Dockerfile
@@ -6,11 +6,12 @@ COPY lambda_requirements.txt ${LAMBDA_TASK_ROOT}
 # Install the specified packages
 RUN pip install --compile --no-cache-dir -r lambda_requirements.txt
 
-# Copy model
-COPY trained/mini-copilot ${LAMBDA_TASK_ROOT}/trained/mini-copilot
+# Copy old model
+COPY trained/gpt2-728 ${LAMBDA_TASK_ROOT}/trained/gpt2-728
 
-# Copy tokenizer
-COPY trained/mini-copilot-tokenizer ${LAMBDA_TASK_ROOT}/trained/mini-copilot-tokenizer
+# Copy new model and tokenizer
+# COPY trained/mini-copilot ${LAMBDA_TASK_ROOT}/trained/mini-copilot
+# COPY trained/mini-copilot-tokenizer ${LAMBDA_TASK_ROOT}/trained/mini-copilot-tokenizer
 
 # Copy function code
 COPY lambda.py ${LAMBDA_TASK_ROOT}
diff --git a/src/backend/lambda.py b/src/backend/lambda.py
index 6e684a4..4f7b89d 100644
--- a/src/backend/lambda.py
+++ b/src/backend/lambda.py
@@ -4,9 +4,8 @@
 from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-tokenizer = AutoTokenizer.from_pretrained(
-    "trained/mini-copilot-tokenizer/tokenizer_10M")
-model = AutoModelForCausalLM.from_pretrained("trained/mini-copilot/gpt2-large")
+tokenizer = AutoTokenizer.from_pretrained("gpt2")
+model = AutoModelForCausalLM.from_pretrained("trained/gpt2-728")
 model.to(device)
 model.eval()