> 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.

# EXAONE-3.0-7.8B-Instruct

> Reference EXAONE-3.0-7.8B-Instruct checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

EXAONE is a bilingual (Korean-English) language model series from LG AI Research, with strong performance on Korean-language benchmarks.

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                                   |
| Architecture              | `ExaoneForCausalLM`                               |
| Parameters                | 7.8B                                              |
| Hugging Face Organization | [LGAI-EXAONE](https://huggingface.co/LGAI-EXAONE) |

### Available Models

| Model                    | HF ID                                                                                                 |
| ------------------------ | ----------------------------------------------------------------------------------------------------- |
| EXAONE 3.0 7.8B Instruct | [`LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct`](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct) |

## Related Resources

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