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   "source": [
    "# 1 大模型运行环境简介\n",
    "\n",
    "\n",
    "建议直接使用autodl，google colab等环境\n",
    "\n",
    "显卡：4090或者4090d\n",
    "\n",
    "内存：32G至少\n",
    "\n",
    "torch>=2.3.0\n",
    "\n",
    "具体可以参考：https://zhuanlan.zhihu.com/p/13479003076\n",
    "\n",
    "pip安装下面的基本transformer环境即可："
   ]
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  {
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   "id": "cdeae2e5-2a39-4370-a5ec-47780f8fa76a",
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   "source": [
    "!pip install transformers sentencepiece google protobuf deepspeed peft datasets "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a355a6e6-62fc-4b8f-ba35-b9c2f0ef48c8",
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    "如要运行deepspeed，一般使用一机多卡即可，本教程一般不会涉及需要多机多卡的案例\n",
    "\n",
    "\n",
    "推荐的gpu主机：\n",
    "* autodl.com, 国内的 \n",
    "* vast.ai, 海外的\n",
    "\n",
    "主流云平台gpu一般都特别贵，也不允许运行4090等显卡。"
   ]
  },
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   "execution_count": null,
   "id": "813c37df-9fef-453a-bfbd-46dd05ac76dd",
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   "source": []
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