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Model catalogWan2.1-T2V-14B
WA

Wan2.1-T2V-14B

Multimodal model

Wan2.1-T2V-14B

Release date: 2025-02-25Updated: 2025-06-30 14:52:43707
Live demoGitHubHugging FaceCompare
Parameters
14B
Context length
4K
Chinese support
Supported
Reasoning ability

Wan2.1-T2V-14B is an AI model published by 阿里巴巴, released on 2025-02-25, for Multimodal model, with 140.0B parameters, and 4K tokens context length, requiring about 28GB storage, under the Apache 2.0 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Wan2.1-T2V-14B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
4K tokens
Max output length
32768 tokens
Model type
Multimodal model
Release date
2025-02-25
Model file size
28GB
MoE architecture
No
Total params / Active params
14B / N/A
Knowledge cutoff
No data
Wan2.1-T2V-14B

Open source & experience

Code license
Apache 2.0
Weights license
Apache 2.0- 免费商用授权
GitHub repo
https://github.com/Wan-Video/Wan2.1
Hugging Face
https://huggingface.co/Wan-AI/Wan2.1-T2V-14B
Live demo
https://wan.video/
Wan2.1-T2V-14B

Official resources

Paper
No paper available
DataLearnerAI blog
No blog post yet
Wan2.1-T2V-14B

API details

API speed
2/5
No public API pricing yet.
Wan2.1-T2V-14B

Benchmark Results

No benchmark data to show.

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Wan2.1-T2V-14B

Publisher

阿里巴巴
阿里巴巴
View publisher details
Wan2.1-T2V-14B

Model Overview

Wan2.1-T2V-14B is an AI model published by 阿里巴巴, released on 2025-02-25, for Multimodal model, with 140.0B parameters, and 4K tokens context length, requiring about 28GB storage, under the Apache 2.0 license.

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