清理之之越界文件

scripts/training/zhizhi_v2/setup_train.sh

@@ -1,52 +1 @@
-#!/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 "========================================"
+# 此文件已迁移至 zhizhi 仓库