diff --git a/speedrun.sh b/speedrun.sh
index bd8ba4f..9c71886 100644
--- a/speedrun.sh
+++ b/speedrun.sh
@@ -76,14 +76,6 @@ python -m scripts.tok_eval
 # -----------------------------------------------------------------------------
 # Base model (pretraining)
 
-# Download the eval_bundle from s3 to evaluate CORE metric during training (~162MB)
-EVAL_BUNDLE_URL=https://karpathy-public.s3.us-west-2.amazonaws.com/eval_bundle.zip
-if [ ! -d "$NANOCHAT_BASE_DIR/eval_bundle" ]; then
-    curl -L -o eval_bundle.zip $EVAL_BUNDLE_URL
-    unzip -q eval_bundle.zip
-    rm eval_bundle.zip
-    mv eval_bundle $NANOCHAT_BASE_DIR
-fi
 
 # The d20 model is 561M parameters.
 # Chinchilla says #tokens = 20X #params, so we need 561e6 * 20 = 11.2B tokens.