run-llama--llama_index/docs/examples/llm/modelscope.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ModelScope LLMS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we show how to use the ModelScope LLM models in LlamaIndex. Check out the [ModelScope site](https://www.modelscope.cn/).\n",
    "\n",
    "If you're opening this Notebook on colab, you will need to install LlamaIndex 🦙 and the modelscope."
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
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   "source": [
    "!pip install llama-index-llms-modelscope"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Usage\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "from llama_index.llms.modelscope import ModelScopeLLM\n",
    "\n",
    "llm = ModelScopeLLM(model_name=\"qwen/Qwen3-8B\", model_revision=\"master\")\n",
    "\n",
    "rsp = llm.complete(\"Hello, who are you?\")\n",
    "print(rsp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use Message request"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from llama_index.core.base.llms.types import MessageRole, ChatMessage\n",
    "\n",
    "messages = [\n",
    "    ChatMessage(\n",
    "        role=MessageRole.SYSTEM, content=\"You are a helpful assistant.\"\n",
    "    ),\n",
    "    ChatMessage(role=MessageRole.USER, content=\"How to make cake?\"),\n",
    "]\n",
    "resp = llm.chat(messages)\n",
    "print(resp)"
   ]
  }
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