初始化项目，由ModelHub XC社区提供模型

Model: ayh015/myLightningOPD
Source: Original Platform

scripts/collect_rollouts.sh

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+#!/usr/bin/env bash
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+# Step 3: Collect student rollouts on OPD prompts.
+#
+# Uses data_curation/ to run the SFT model on OPD prompts (e.g. DAPO-Math-17k)
+# and collect response rollouts for Lightning OPD data preparation.
+#
+# Required environment variables:
+#   SFT_CHECKPOINT - Path to the SFT model checkpoint
+#   OPD_PROMPTS    - Path to the OPD prompt dataset (.jsonl or .parquet)
+#   OUTPUT_DIR     - Directory for collected rollout data
+#
+# Optional:
+#   NUM_GPUS       - Number of GPUs to use (default: 8)
+#   TP_SIZE        - Tensor parallel size per worker (default: 1)
+#
+# Extra args are passed through to data_curation/pipeline.py, e.g.:
+#   bash scripts/collect_rollouts.sh --num-samples 10
+
+set -euo pipefail
+
+: "${SFT_CHECKPOINT:?Set SFT_CHECKPOINT to the SFT model path}"
+: "${OPD_PROMPTS:?Set OPD_PROMPTS to the OPD prompt dataset path}"
+: "${OUTPUT_DIR:?Set OUTPUT_DIR for collected rollout data}"
+
+# Resolve to absolute paths (workers may run from different cwd)
+SFT_CHECKPOINT="$(cd "$(dirname "${SFT_CHECKPOINT}")" && pwd)/$(basename "${SFT_CHECKPOINT}")"
+OPD_PROMPTS="$(cd "$(dirname "${OPD_PROMPTS}")" && pwd)/$(basename "${OPD_PROMPTS}")"
+OUTPUT_DIR="$(mkdir -p "${OUTPUT_DIR}" && cd "${OUTPUT_DIR}" && pwd)"
+
+NUM_GPUS="${NUM_GPUS:-8}"
+TP_SIZE="${TP_SIZE:-1}"
+
+bash data_curation/run_curation.sh \
+    --model "${SFT_CHECKPOINT}" \
+    --input "${OPD_PROMPTS}" \
+    --output-dir "${OUTPUT_DIR}" \
+    --num-gpus "${NUM_GPUS}" \
+    --tensor-parallel-size "${TP_SIZE}" \
+    "$@"