初始化项目，由ModelHub XC社区提供模型

Model: ayh015/myLightningOPD
Source: Original Platform

scripts/generate_sft_data.sh

@@ -0,0 +1,59 @@
+#!/usr/bin/env bash
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+# Step 1: Generate SFT data using the teacher model.
+#
+# Uses data_curation/ to run the teacher model on OpenThoughts-3 prompts
+# and generate response trajectories for SFT training.
+#
+# Required environment variables:
+#   TEACHER_MODEL - HuggingFace model name or path (e.g. Qwen/Qwen3-8B)
+#   SFT_PROMPTS   - Path to the prompt dataset (.jsonl or .parquet)
+#   OUTPUT_DIR    - Directory for generated SFT 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/generate_sft_data.sh --num-samples 10
+
+set -euo pipefail
+
+# ---- CUDA / FlashInfer build environment ----
+if [ -n "${CONDA_PREFIX:-}" ]; then
+    export CUDA_HOME="${CUDA_HOME:-$CONDA_PREFIX}"
+    export CUDA_PATH="${CUDA_PATH:-$CONDA_PREFIX}"
+    export CUDACXX="${CUDACXX:-$CONDA_PREFIX/bin/nvcc}"
+
+    export PATH="$CONDA_PREFIX/bin:$PATH"
+    export LD_LIBRARY_PATH="$CONDA_PREFIX/lib:$CONDA_PREFIX/lib64:/usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH:-}"
+    export LIBRARY_PATH="/usr/lib/x86_64-linux-gnu:${LIBRARY_PATH:-}"
+fi
+
+echo "Using nvcc: $(which nvcc)"
+nvcc --version || true
+echo "CUDA_HOME=${CUDA_HOME:-}"
+echo "CUDACXX=${CUDACXX:-}"
+echo "LIBRARY_PATH=${LIBRARY_PATH:-}"
+# ---------------------------------------------
+
+: "${TEACHER_MODEL:?Set TEACHER_MODEL (e.g. Qwen/Qwen3-8B)}"
+: "${SFT_PROMPTS:?Set SFT_PROMPTS to the prompt dataset path}"
+: "${OUTPUT_DIR:?Set OUTPUT_DIR for generated SFT data}"
+
+# Resolve to absolute paths (workers may run from different cwd)
+SFT_PROMPTS="$(cd "$(dirname "${SFT_PROMPTS}")" && pwd)/$(basename "${SFT_PROMPTS}")"
+OUTPUT_DIR="$(mkdir -p "${OUTPUT_DIR}" && cd "${OUTPUT_DIR}" && pwd)"
+
+NUM_GPUS="${NUM_GPUS:-8}"
+TP_SIZE="${TP_SIZE:-1}"
+
+bash data_curation/run_curation.sh \
+    --model "${TEACHER_MODEL}" \
+    --input "${SFT_PROMPTS}" \
+    --output-dir "${OUTPUT_DIR}" \
+    --num-gpus "${NUM_GPUS}" \
+    --tensor-parallel-size "${TP_SIZE}" \
+    "$@"