> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/vision-language-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 vision language models.

* [`NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16`](/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16)
* [`NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-BF16`](/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-BF16)
* [`NVIDIA-Nemotron-Parse-v1.1`](/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-Parse-v1.1)

> Browse NeMo AutoModel coverage for NVIDIA vision language models.

## Docs

- [NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16.md): Use NeMo AutoModel to LoRA fine-tune NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 on one GB300 GPU through its Hugging Face implementation.
- [NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-BF16](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-BF16.md): Fine-tune NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-BF16 with NeMo AutoModel using the checked-in full-parameter and LoRA recipes for the Gemma 4 E4B architecture.
- [NVIDIA-Nemotron-Parse-v1.1](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/vision-language-models/nvidia/NVIDIA-Nemotron-Parse-v1.1.md): Use NVIDIA-Nemotron-Parse-v1.1 with NeMo AutoModel for vision-language fine-tuning, with documented checkpoints, runnable recipes, setup, and model reference details.