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MODEL Listed

Qwen3.6-35B-A3B

Qwen3.6 35B A3B is a multimodal model designed for efficient image-text processing, balancing high-parameter intelligence with an optimized architecture. For developers, this model serves as a versatile engine for visual question answering, document parsing, and complex image reasoning tasks. It is particularly useful for building pipelines that require deep semantic understanding of visual inputs without the overhead of massive frontier models. With an Apache-2.0 license, it offers significant flexibility for commercial deployment and fine-tuning. Integration is streamlined for those already using the Qwen ecosystem, providing a competitive alternative to other open-weight multimodal models in terms of accuracy-to-latency ratios.

Qwenimage text to text
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01 / MODEL CARD

Model card

Qwen3.6 35B A3B is a multimodal model designed for efficient image-text processing, balancing high-parameter intelligence with an optimized architecture. For developers, this model serves as a versatile engine for visual question answering, document parsing, and complex image reasoning tasks. It is particularly useful for building pipelines that require deep semantic understanding of visual inputs without the overhead of massive frontier models. With an Apache-2.0 license, it offers significant flexibility for commercial deployment and fine-tuning. Integration is streamlined for those already using the Qwen ecosystem, providing a competitive alternative to other open-weight multimodal models in terms of accuracy-to-latency ratios.

Model typeimage text to text
ProviderQwen
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/Qwen3.6-35B-A3B
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/Qwen3.6-35B-A3B
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/Qwen3.6-35B-A3B
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/Qwen3.6-35B-A3B 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/Qwen3.6-35B-A3B')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/Qwen/Qwen3.6-35B-A3B.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/Qwen3.6-35B-A3B.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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