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

# NVIDIA

> Browse NeMo AutoModel coverage for NVIDIA embedding models.

* [`llama-embed-nemotron-8b`](/model-coverage/embedding-models/nvidia/llama-embed-nemotron-8b)
* [`llama-nemotron-embed-vl-1b-v2`](/model-coverage/embedding-models/nvidia/llama-nemotron-embed-vl-1b-v2)

> Browse NeMo AutoModel coverage for NVIDIA embedding models.

## Docs

- [llama-embed-nemotron-8b](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/embedding-models/nvidia/llama-embed-nemotron-8b.md): Use llama-embed-nemotron-8b with NeMo AutoModel for embedding training, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [llama-nemotron-embed-vl-1b-v2](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/embedding-models/nvidia/llama-nemotron-embed-vl-1b-v2.md): Extract multimodal embeddings with llama-nemotron-embed-vl-1b-v2 in NeMo AutoModel using the checked-in bi-encoder recipe and DDP.