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MODEL Listed

DeepSeek-R1

DeepSeek R1 is a reasoning-focused model designed to compete with high-end frontier LLMs by implementing advanced reinforcement learning. Unlike standard chat models, R1 excels at complex logic, mathematics, and coding tasks by utilizing a 'chain-of-thought' process, allowing it to self-correct and iterate on its reasoning before delivering a final answer. For developers, this makes it an ideal engine for autonomous agents, complex debugging, and technical synthesis. It is released under the MIT license, offering significant flexibility for commercial integration and local deployment via open-weights, reducing reliance on proprietary APIs without sacrificing state-of-the-art performance in STEM domains.

deepseek-aitext generation
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01 / MODEL CARD

Model card

DeepSeek R1 is a reasoning-focused model designed to compete with high-end frontier LLMs by implementing advanced reinforcement learning. Unlike standard chat models, R1 excels at complex logic, mathematics, and coding tasks by utilizing a 'chain-of-thought' process, allowing it to self-correct and iterate on its reasoning before delivering a final answer. For developers, this makes it an ideal engine for autonomous agents, complex debugging, and technical synthesis. It is released under the MIT license, offering significant flexibility for commercial integration and local deployment via open-weights, reducing reliance on proprietary APIs without sacrificing state-of-the-art performance in STEM domains.

Model typetext generation
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/DeepSeek-R1
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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/DeepSeek-R1
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/DeepSeek-R1
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/DeepSeek-R1 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/DeepSeek-R1')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/deepseek-ai/DeepSeek-R1.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/DeepSeek-R1.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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