diff --git a/llama2_70b_lora/README.md b/llama2_70b_lora/README.md
index e02c5cca0..c79ff15c1 100644
--- a/llama2_70b_lora/README.md
+++ b/llama2_70b_lora/README.md
@@ -41,7 +41,7 @@ git clone https://github.com/mlperf/logging.git mlperf-logging
 pip install -e mlperf-logging
 ```
 ## Download Data and Model
-MLCommons hosts the model for download exclusively by MLCommons Members. You must first agree to the [confidentiality notice](https://docs.google.com/forms/d/e/1FAIpQLSc_8VIvRmXM3I8KQaYnKf7gy27Z63BBoI_I1u02f4lw6rBp3g/viewform), then follow the provided link to a directory containing [Rclone download instructions. Follow steps 1-3 to install and activate Rclone. Finally, download the model to the desired download directory (default ./models):
+MLCommons hosts the model and preprocessed dataset for download **exclusively by MLCommons Members**. You must first agree to the [confidentiality notice](https://llama2.mlcommons.org) using your organizational email address, then you will receive a link to a directory containing Rclone download instructions. _If you cannot access the form but you are part of a MLCommons Member organization, submit the [MLCommons subscription form](https://mlcommons.org/community/subscribe/) with your organizational email address and [associate a Google account](https://accounts.google.com/SignUpWithoutGmail) with your organizational email address._ Once you have access to the Rclone download instructions, follow steps 1-3 to install and set up and authenticate Rclone. Finally, download the model to the desired download directory (default ./models):
 ```
 mkdir models
 cd models