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

# OLMoE-1B-7B-0924

> Reference OLMoE-1B-7B-0924 checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

[OLMoE](https://allenai.org/olmo) is Allen AI's open Mixture-of-Experts language model. It activates 1B parameters per token from a 7B total parameter pool.

Use this page as a checkpoint and architecture reference. Set up NeMo AutoModel with the
[latest container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel) or follow the
[installation instructions](/get-started/installation).

## Model Reference

### Model Architecture

| Property                  | Value                                     |
| ------------------------- | ----------------------------------------- |
| Task                      | Text Generation (MoE)                     |
| Architecture              | `OLMoEForCausalLM`                        |
| Parameters                | 7B total / 1B active                      |
| Hugging Face Organization | [allenai](https://huggingface.co/allenai) |

### Available Models

| Model                | HF ID                                                                                           |
| -------------------- | ----------------------------------------------------------------------------------------------- |
| OLMoE 1B 7B          | [`allenai/OLMoE-1B-7B-0924`](https://huggingface.co/allenai/OLMoE-1B-7B-0924)                   |
| OLMoE 1B 7B Instruct | [`allenai/OLMoE-1B-7B-0924-Instruct`](https://huggingface.co/allenai/OLMoE-1B-7B-0924-Instruct) |

## Related Resources

* [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft)