Hunyuan3D 2.0
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Tencent
- Organisation type
- Industry
- Country
- China
- Published
- 21 January 2025
- Authors
- Project Sponsors: Jie Jiang, Yuhong Liu, Di Wang, Yong Yang, Tian Liu • Project Leaders: Chunchao Guo, Jingwei Huang • Core Contributors: – Data: Lifu Wang, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Yulin Cai, Jiaao Yu, Yixuan Tang, Hao Zhang, Zheng Ye, Peng He, Runzhou Wu, Chao Zhang, Yonghao Tan – Shape Generation: Zeqiang Lai, Qingxiang Lin, Yunfei Zhao, Haolin Liu, Zibo Zhao – Texture Sy…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Vision, 3D modeling
- Task
- 3D reconstruction
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (restricted use)
- Hugging Face
- tencent
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Hunyuan3D 2.0 was published by Tencent, in China, in January 2025. The organisation is categorised as industry.
It works in Language, Vision, 3D modeling, and is recorded as doing 3D reconstruction.
Because its weights were released, nothing about running it depends on a provider staying available — it is yours once downloaded. It is published under the tencent organisation on Hugging Face.
Answers
Hunyuan3D 2.0 — common questions
Where can I download Hunyuan3D 2.0?
Its weights are published under the tencent organisation on Hugging Face. We do not host model files — this site calculates what hardware is needed to run them.
What GPU do I need to run Hunyuan3D 2.0?
We cannot say. Hunyuan3D 2.0 has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Is Hunyuan3D 2.0 open source?
Its weights are published, so Hunyuan3D 2.0 can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
How many parameters does Hunyuan3D 2.0 have?
No parameter count has been published for Hunyuan3D 2.0, which is why no memory or speed figure appears on this page.
Who created Hunyuan3D 2.0?
Hunyuan3D 2.0 was published by Tencent, based in China, categorised as industry.
When was Hunyuan3D 2.0 released?
Hunyuan3D 2.0 was published in January 2025.
What is Hunyuan3D 2.0 used for?
Hunyuan3D 2.0 works in Language, Vision, 3D modeling, and is recorded as handling 3D reconstruction. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.