diff --git a/examples/llama7b_sparse_quantized/README.md b/examples/llama7b_sparse_quantized/README.md
index f10bb0984a..1a48c01afc 100644
--- a/examples/llama7b_sparse_quantized/README.md
+++ b/examples/llama7b_sparse_quantized/README.md
@@ -73,10 +73,12 @@ run the following in the same Python instance as the previous steps.
 
 ```python
 import torch
+import os
 from sparseml.transformers import SparseAutoModelForCausalLM
 
 compressed_output_dir = "output_llama7b_2:4_w4a16_channel_compressed"
-model = SparseAutoModelForCausalLM.from_pretrained(output_dir, torch_dtype=torch.bfloat16)
+uncompressed_path = os.path.join(output_dir, "stage_quantization")
+model = SparseAutoModelForCausalLM.from_pretrained(uncompressed_path, torch_dtype=torch.bfloat16)
 model.save_pretrained(compressed_output_dir, save_compressed=True)
 ```