diff --git a/scripts/eval/oe-eval.sh b/scripts/eval/oe-eval.sh
new file mode 100755
index 000000000..05130f606
--- /dev/null
+++ b/scripts/eval/oe-eval.sh
@@ -0,0 +1,87 @@
+#!/bin/bash
+
+set -ex
+
+# A script for using oe-eval for our development!
+# to install oe-eval, check out https://github.com/allenai/oe-eval-internal
+# you'll need the current main for this to work.
+# sadly, this is internal at Ai2 for now, but we are working on making it public!
+
+# Example usages:
+# ./scripts/eval/oe-eval.sh --model-name <model_name>  --model-location <model_path> [--hf-upload]
+# model_name should be a human-readable name for the model/run. This will be used in experiment tracking.
+# model_path should be
+#   (a) a huggingface name (e.g. allenai/llama-3-tulu-2-8b),
+#   (b) a beaker dataset name (e.g. beaker://hamishivi/olmo_17_7b_turbo_dpo) - note the beaker://
+#   (c) a beaker dataset hash (e.g., beaker://01J28FDK3GDNA2C5E9JXBW1TP4) - note the beaker://
+#   (d) (untested) an absolute path to a model on cirrascale nfs.
+# hf-upload is an optional flag to upload the results to huggingface for result tracking.
+# e.g.:
+# ./scripts/eval/oe-eval.sh --model-name olmo_17_7b_turbo_sft  --model-location beaker://01J28FDK3GDNA2C5E9JXBW1TP4 --hf-upload
+# ./scripts/eval/oe-eval.sh --model-name llama-3-tulu-2-dpo-8b --model-location allenai/llama-3-tulu-2-8b --hf-upload
+
+# Tulu eval dev suite is:
+# gsm8k::olmo1
+# drop::llama3
+# minerva_math::llama3
+# codex_humaneval
+# codex_humanevalplus
+# ifeval::tulu
+# popqa
+# mmlu:mc::olmes
+
+# Function to print usage
+usage() {
+    echo "Usage: $0 --model-name MODEL_NAME --model-location MODEL_LOCATION [--hf-upload]"
+    exit 1
+}
+
+# Parse named arguments
+while [[ "$#" -gt 0 ]]; do
+    case $1 in
+        --model-name) MODEL_NAME="$2"; shift ;;
+        --model-location) MODEL_LOCATION="$2"; shift ;;
+        --hf-upload) HF_UPLOAD="true" ;;
+        *) echo "Unknown parameter passed: $1"; usage ;;
+    esac
+    shift
+done
+
+# Check required arguments
+if [[ -z "$MODEL_NAME" || -z "$MODEL_LOCATION" ]]; then
+    echo "Error: --model-name and --model-location are required."
+    usage
+fi
+
+# Replace '/' with '_' in MODEL_NAME
+MODEL_NAME_SAFE=${MODEL_NAME//\//_}
+
+# Set defaults for optional arguments
+HF_UPLOAD="${HF_UPLOAD:-false}"
+
+# Set HF_UPLOAD_ARG if HF_UPLOAD is true
+if [ "$HF_UPLOAD" == "true" ]; then
+    HF_UPLOAD_ARG="--hf-save-dir allenai/tulu-3-evals//results/${MODEL_NAME_SAFE}"
+else
+    HF_UPLOAD_ARG=""
+fi
+
+# Run oe-eval with different tasks
+TASKS=("gsm8k::olmo1" "drop::llama3" "minerva_math::llama3" "codex_humaneval" "codex_humanevalplus" "ifeval::tulu" "popqa" "mmlu:mc::olmes")
+MODEL_TYPE="--model-type vllm"
+BATCH_SIZE_VLLM=10000
+BATCH_SIZE_OTHER=1
+GPU_COUNT=1
+GPU_COUNT_OTHER=2
+MODEL_TYPE_OTHER=""
+
+for TASK in "${TASKS[@]}"; do
+    if [[ "$TASK" == "mmlu:mc::olmes" ]]; then
+        BATCH_SIZE=$BATCH_SIZE_OTHER
+        GPU_COUNT=$GPU_COUNT_OTHER
+        MODEL_TYPE=$MODEL_TYPE_OTHER
+    else
+        BATCH_SIZE=$BATCH_SIZE_VLLM
+    fi
+    oe-eval --model "$MODEL_NAME" --beaker-workspace "ai2/tulu-3-results" --beaker-budget ai2/oe-adapt --task "$TASK" $MODEL_TYPE --batch-size "$BATCH_SIZE" --model-args {\"model_path\":\"${MODEL_LOCATION}\"} ${HF_UPLOAD_ARG} --gpus "$GPU_COUNT"
+done