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MODEL Listed

DeepSeek-V4.1-Flash-NVFP4

DeepSeek-V4.1-Flash-NVFP4 is a lightweight image-text-to-text model from NVIDIA optimized for speed and cost efficiency. Built for developers who need fast multimodal inference without heavy compute overhead, it handles tasks like visual question answering, captioning, and document understanding. The model supports standard Hugging Face pipelines, making integration straightforward with existing NLP and computer vision workflows. It's particularly useful for edge or latency-sensitive applications where larger models would be impractical. While not as powerful as full-scale multimodal systems, its balance of performance and efficiency makes it a solid choice for prototyping or deploying scalable, real-time multimodal features. As with any model, review the MIT-licensed model card for intended use and limitations before production deployment.

nvidiaimage text to text
01 / MODEL CARD

Model card

DeepSeek-V4.1-Flash-NVFP4 is a lightweight image-text-to-text model from NVIDIA optimized for speed and cost efficiency. Built for developers who need fast multimodal inference without heavy compute overhead, it handles tasks like visual question answering, captioning, and document understanding. The model supports standard Hugging Face pipelines, making integration straightforward with existing NLP and computer vision workflows. It's particularly useful for edge or latency-sensitive applications where larger models would be impractical. While not as powerful as full-scale multimodal systems, its balance of performance and efficiency makes it a solid choice for prototyping or deploying scalable, real-time multimodal features. As with any model, review the MIT-licensed model card for intended use and limitations before production deployment.

Model typeimage text to text
Providernvidia
Licensemit
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/nvidia/DeepSeek-V4.1-Flash-NVFP4
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: nvidia/DeepSeek-V4.1-Flash-NVFP4
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model nvidia/DeepSeek-V4.1-Flash-NVFP4
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model nvidia/DeepSeek-V4.1-Flash-NVFP4 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('nvidia/DeepSeek-V4.1-Flash-NVFP4')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/nvidia/DeepSeek-V4.1-Flash-NVFP4.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/nvidia/DeepSeek-V4.1-Flash-NVFP4.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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