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 files and versions
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.
nvidia/DeepSeek-V4.1-Flash-NVFP4Install the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model nvidia/DeepSeek-V4.1-Flash-NVFP4README.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 ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('nvidia/DeepSeek-V4.1-Flash-NVFP4')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/nvidia/DeepSeek-V4.1-Flash-NVFP4.gitFetch 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.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
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