ModelScope LLMS
In this notebook, we show how to use the ModelScope LLM models in LlamaIndex. Check out the ModelScope site.
If you’re opening this Notebook on colab, you will need to install LlamaIndex 🦙 and the modelscope.
!pip install llama-index-llms-modelscopeBasic Usage
Section titled “Basic Usage”import sysfrom llama_index.llms.modelscope import ModelScopeLLM
llm = ModelScopeLLM(model_name="qwen/Qwen3-8B", model_revision="master")
rsp = llm.complete("Hello, who are you?")print(rsp)Use Message request
Section titled “Use Message request”from llama_index.core.base.llms.types import MessageRole, ChatMessage
messages = [ ChatMessage( role=MessageRole.SYSTEM, content="You are a helpful assistant." ), ChatMessage(role=MessageRole.USER, content="How to make cake?"),]resp = llm.chat(messages)print(resp)Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/