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MODEL Listed

Janus-Pro-1B

Janus-Pro-1B is a compact, any-to-any multimodal model from the DeepSeek team designed to bridge the gap between text and visual processing in a lightweight footprint. Unlike traditional models that rely on separate encoders for different modalities, Janus-Pro utilizes a unified architecture to handle cross-modal understanding and generation. For developers, the 1B parameter scale is the primary draw, making it highly efficient for edge deployment, local prototyping, or integration into resource-constrained pipelines where latency is critical. While larger models offer higher reasoning depth, Janus-Pro provides a streamlined solution for tasks involving visual comprehension, image description, and multimodal interaction. It is particularly well-suited for developers building real-time vision-language applications or those looking to fine-tune a specialized multimodal agent without the massive overhead of trillion-parameter architectures. Its MIT license further simplifies commercial integration and open-source experimentation.

deepseek-aiany to any
01 / MODEL CARD

Model card

Janus-Pro-1B is a compact, any-to-any multimodal model from the DeepSeek team designed to bridge the gap between text and visual processing in a lightweight footprint. Unlike traditional models that rely on separate encoders for different modalities, Janus-Pro utilizes a unified architecture to handle cross-modal understanding and generation. For developers, the 1B parameter scale is the primary draw, making it highly efficient for edge deployment, local prototyping, or integration into resource-constrained pipelines where latency is critical. While larger models offer higher reasoning depth, Janus-Pro provides a streamlined solution for tasks involving visual comprehension, image description, and multimodal interaction. It is particularly well-suited for developers building real-time vision-language applications or those looking to fine-tune a specialized multimodal agent without the massive overhead of trillion-parameter architectures. Its MIT license further simplifies commercial integration and open-source experimentation.

Model typeany to any
Providerdeepseek-ai
Licensemit
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/deepseek-ai/Janus-Pro-1B
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: deepseek-ai/Janus-Pro-1B
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 deepseek-ai/Janus-Pro-1B
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 deepseek-ai/Janus-Pro-1B 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('deepseek-ai/Janus-Pro-1B')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/deepseek-ai/Janus-Pro-1B.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/deepseek-ai/Janus-Pro-1B.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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