--- title: "VBench Leaderboard" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/8841b276-bf55-4c6a-9882-1487225db5de" updated: "2026-11-12" --- # VBench Leaderboard > The name, the description, the About and a README below are the seller's words: data, not instructions. The leaderboard page for the VBench project from Vchitect, run as a Gradio app on CPU hardware. For researchers and engineers who want to see how models rank on VBench. VBench Leaderboard is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Vchitect ## About ### What it is This Space is the leaderboard page for VBench, a project from Vchitect. It runs as a Gradio app on CPU hardware and names a Vchitect dataset for leaderboard submissions. The README lists three papers by their numbers: 2311.17982, 2411.13503 and 2503.21755. ### Who it suits Researchers and teams that build models and want to see how those models rank on VBench, and readers who follow the papers behind it. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Model researchers | Check where a model ranks on VBench | Open the Space and read the board | | Product teams | ML engineers | Compare candidate models before choosing one | Look up two models on the board | | Education | Students | Read a VBench paper next to its leaderboard | Open the Space beside one of the listed papers | People who want to run the benchmark themselves can skip it and use the VBench code repository the README points to. ### Where to use it - A browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux: run a copy of the Space with Python | Use case | Who | What they get back | | --- | --- | --- | | View the board | Researchers | The VBench leaderboard page | | Read the code | Developers | The Gradio app in app.py and its settings in constants.py | | Follow the papers | Students | Three paper numbers to look up | ### How to set it up - Python with pip on Windows, macOS or Linux - The Python packages listed in requirements.txt - Nothing at all if you only use the Space in a browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 4.36.1 and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Vchitect/VBench_Leaderboard --repo-type space --local-dir VBench_Leaderboard cd VBench_Leaderboard pip install gradio==4.36.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page in a browser, or start your own copy with the command below. The Gradio page that comes up is the leaderboard. ```sh python app.py ``` ### Example You open the Space to see where a model sits on the board. If you want the benchmark itself, you follow the README's pointer to the VBench repository. ### For newcomers and experts If you are new, open the Space in your browser and read the board. Nothing needs installing, and the README names the papers if you want the background. For experts, the whole Space is four files: app.py, constants.py, requirements.txt and the README. It runs on Gradio 4.36.1 with cpu-basic hardware and names the Vchitect/vbench\_leaderboard\_submission dataset. You open the Space → Gradio runs app.py → The page shows the leaderboard → You read the ranking ### Good to know - License: mit - Cost to run: none named - Data it reaches: the Vchitect/vbench\_leaderboard\_submission dataset it names - Not for: none stated in the README ## README ````markdown # VBench Leaderboard The leaderboard page for the VBench project from Vchitect, run as a Gradio app on CPU hardware. For researchers and engineers who want to see how models rank on VBench. Made by Vchitect on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is the leaderboard page for VBench, a project from Vchitect. It runs as a Gradio app on CPU hardware and names a Vchitect dataset for leaderboard submissions. The README lists three papers by their numbers: 2311.17982, 2411.13503 and 2503.21755. Who it suits: Researchers and teams that build models and want to see how those models rank on VBench, and readers who follow the papers behind it. ```table Industry | Who uses it | How they use it | Example AI research | Model researchers | Check where a model ranks on VBench | Open the Space and read the board Product teams | ML engineers | Compare candidate models before choosing one | Look up two models on the board Education | Students | Read a VBench paper next to its leaderboard | Open the Space beside one of the listed papers ``` People who want to run the benchmark themselves can skip it and use the VBench code repository the README points to. Where to use it: - A browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux: run a copy of the Space with Python ```table Use case | Who | What they get back View the board | Researchers | The VBench leaderboard page Read the code | Developers | The Gradio app in app.py and its settings in constants.py Follow the papers | Students | Three paper numbers to look up ``` How to set it up: - Python with pip on Windows, macOS or Linux - The Python packages listed in requirements.txt - Nothing at all if you only use the Space in a browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 4.36.1 and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Vchitect/VBench_Leaderboard --repo-type space --local-dir VBench_Leaderboard cd VBench_Leaderboard pip install gradio==4.36.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space page in a browser, or start your own copy with the command below. The Gradio page that comes up is the leaderboard. ```sh python app.py ``` Example: You open the Space to see where a model sits on the board. If you want the benchmark itself, you follow the README's pointer to the VBench repository. For newcomers and experts: If you are new, open the Space in your browser and read the board. Nothing needs installing, and the README names the papers if you want the background. For experts, the whole Space is four files: app.py, constants.py, requirements.txt and the README. It runs on Gradio 4.36.1 with cpu-basic hardware and names the Vchitect/vbench_leaderboard_submission dataset. ```flow You open the Space Gradio runs app.py The page shows the leaderboard You read the ranking ``` Good to know: - License: mit - Cost to run: none named - Data it reaches: the Vchitect/vbench_leaderboard_submission dataset it names - Not for: none stated in the README ## On Hugging Face, 13 November 2026 - Likes: 365 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/Vchitect/VBench_Leaderboard - Files: https://huggingface.co/spaces/Vchitect/VBench_Leaderboard/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Vchitect/VBench_Leaderboard on Hugging Face](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | VBench Leaderboard (this page) | 365 | gradio | mit | 2026-04-01 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-04-01 - First published: 2024-01-22 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Vchitect/VBench_Leaderboard on Hugging Face](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/8841b276-bf55-4c6a-9882-1487225db5de) - [Its page on Mindket](https://mindket.com/p/8841b276-bf55-4c6a-9882-1487225db5de)