> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/xiaomimimo/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# XiaomiMiMo

> Browse NeMo AutoModel coverage for XiaomiMiMo large language models.

* [`MiMo-V2-Flash`](/model-coverage/large-language-models/xiaomimimo/MiMo-V2-Flash)
* [`MiMo-V2.5-Pro`](/model-coverage/large-language-models/xiaomimimo/MiMo-V2.5-Pro)
* [`MiMo-V2.6-Pro-RL`](/model-coverage/large-language-models/xiaomimimo/MiMo-V2.6-Pro-RL)

> Browse NeMo AutoModel coverage for XiaomiMiMo large language models.

## Docs

- [MiMo-V2-Flash](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/xiaomimimo/MiMo-V2-Flash.md): Fine-tune MiMo-V2-Flash and explore MiMo-V2.6-Flash-RL language and vision-language recipes, checkpoints, and settings with NeMo AutoModel.
- [MiMo-V2.5-Pro](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/xiaomimimo/MiMo-V2.5-Pro.md): Fine-tune MiMo-V2.5-Pro with NeMo AutoModel using the checked-in HellaSwag recipe for its hybrid attention MoE architecture and FP8 checkpoint.
- [MiMo-V2.6-Pro-RL](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/xiaomimimo/MiMo-V2.6-Pro-RL.md): Fine-tune MiMo-V2.6-Pro-RL with NeMo AutoModel using the checked-in GB200 recipes for packed Tulu3 text and MedPix-VQA vision-language data.