diff --git a/scripts/training/zhizhi_v2/setup_train.sh b/scripts/training/zhizhi_v2/setup_train.sh
new file mode 100644
index 0000000..94dd3e3
--- /dev/null
+++ b/scripts/training/zhizhi_v2/setup_train.sh
@@ -0,0 +1,52 @@
+#!/bin/bash
+# 之之 v2.0 训练 · 一键部署脚本
+# 由铸渊生成 · 2026-05-18
+# 用法: bash setup_train.sh
+
+set -e
+
+echo "========================================"
+ echo "  之之母模型 v2.0 · 训练部署"
+ echo "  由铸渊配置 · 光湖 · 2026-05-18"
+ echo "========================================"
+ echo ""
+
+# 检查路径
+ DATA_PATH="/root/autodl-tmp/sft_v2_nosys.jsonl"
+ if [ ! -f "$DATA_PATH" ]; then
+   echo "❌ 数据文件不存在: $DATA_PATH"
+   echo "   请确认语料已上传到 AutoDL"
+   exit 1
+ fi
+
+data_lines=$(wc -l < "$DATA_PATH")
+echo "✅ 数据文件: $DATA_PATH ($data_lines 条)"
+echo ""
+
+# 复制配置文件
+ echo "  复制训练配置到 AutoDL..."
+ cp dataset_info.json /root/autodl-tmp/dataset_info.json 2>/dev/null || true
+ cp ds_config.json /root/autodl-tmp/ds_config.json 2>/dev/null || true
+
+echo "✅ 配置文件已就绪"
+echo ""
+
+# 检查框架
+ if python3 -c "import llamafactory; print(llamafactory.__version__)" 2>/dev/null; then
+   echo "✅ LLaMA-Factory 已安装"
+ else
+   echo "⚠️  LLaMA-Factory 未安装，尝试安装稳定版..."
+   pip install "llamafactory==0.8.3" -q
+   echo "✅ 安装完成"
+ fi
+
+echo ""
+echo "========================================"
+echo "  全部就绪，执行以下命令启动训练:"
+echo ""
+echo "  cd /root/autodl-tmp"
+echo "  CUDA_VISIBLE_DEVICES=0,1,2,3 llamafactory-cli train zhizhi_v2.yaml"
+echo ""
+echo "  或先试 dry_run 验证:"
+echo "  llamafactory-cli train zhizhi_v2.yaml --dry_run"
+echo "========================================"