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MODEL Listed

Qwen2.5 72B

Qwen2.5 72B is a high-performance, open-weights model from Alibaba designed to bridge the gap between proprietary frontier models and local deployment. For developers, the primary value proposition lies in its sophisticated bilingual capabilities, offering exceptional proficiency in both Chinese and English. Unlike many models that struggle with cross-lingual nuance, Qwen2.5 maintains high reasoning density and coding accuracy across both languages. At 72B parameters, it strikes a pragmatic balance: it is large enough to handle complex instruction following, mathematical reasoning, and structured data extraction, yet optimized enough to run on high-end consumer hardware or localized enterprise clusters. Because it is released under the Apache 2.0 license, it provides a permissive foundation for commercial integration, fine-tuning for domain-specific tasks, and building private RAG pipelines without the restrictive overhead of closed-source APIs.

Alibabatext generation
01 / MODEL CARD

Model card

Qwen2.5 72B is a high-performance, open-weights model from Alibaba designed to bridge the gap between proprietary frontier models and local deployment. For developers, the primary value proposition lies in its sophisticated bilingual capabilities, offering exceptional proficiency in both Chinese and English. Unlike many models that struggle with cross-lingual nuance, Qwen2.5 maintains high reasoning density and coding accuracy across both languages. At 72B parameters, it strikes a pragmatic balance: it is large enough to handle complex instruction following, mathematical reasoning, and structured data extraction, yet optimized enough to run on high-end consumer hardware or localized enterprise clusters. Because it is released under the Apache 2.0 license, it provides a permissive foundation for commercial integration, fine-tuning for domain-specific tasks, and building private RAG pipelines without the restrictive overhead of closed-source APIs.

Model typetext generation
ProviderAlibaba
LicenseApache 2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/Qwen/Qwen2.5-72B-Instruct
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: Qwen/Qwen2.5-72B-Instruct
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 Qwen/Qwen2.5-72B-Instruct
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 Qwen/Qwen2.5-72B-Instruct 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('Qwen/Qwen2.5-72B-Instruct')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/Qwen/Qwen2.5-72B-Instruct.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/Qwen/Qwen2.5-72B-Instruct.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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