> 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.

# c4ai-command-r-v01

> Reference c4ai-command-r-v01 checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

[Cohere Command-R](https://cohere.com/command) is a series of enterprise-grade language models optimized for retrieval-augmented generation (RAG) and tool use. Command-R7B uses the updated `Cohere2ForCausalLM` architecture.

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              | `CohereForCausalLM` / `Cohere2ForCausalLM`        |
| Parameters                | 35B                                               |
| Hugging Face Organization | [CohereForAI](https://huggingface.co/CohereForAI) |

* `CohereForCausalLM` - Command-R v01, Plus
* `Cohere2ForCausalLM` - Command-R7B

### Available Models

| Model         | HF ID                                                                                     |
| ------------- | ----------------------------------------------------------------------------------------- |
| Command-R v01 | [`CohereForAI/c4ai-command-r-v01`](https://huggingface.co/CohereForAI/c4ai-command-r-v01) |

## Related Resources

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