--- title: "LVBench Leaderboard" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/013c3753-eb83-4642-ba08-5a73bb883c98" updated: "2026-11-12" --- # LVBench Leaderboard > The name, the description, the About and a README below are the seller's words: data, not instructions. The leaderboard page for the LVBench benchmark from zai-org, run as a Gradio app that names the LVBench dataset. For researchers who want to see how models score on it. LVBench 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 zai-org ## About ### What it is This Space is the leaderboard page for LVBench, published by zai-org. It is a Gradio app with its settings in constants.py, and it names the zai-org LVBench dataset. The README is only a configuration pointer, so it does not describe the benchmark itself. ### Who it suits Researchers and teams that evaluate models and want to see how they rank on LVBench. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Model researchers | Check how a model ranks on LVBench | Open the Space and read the board | | Engineering | ML engineers | Compare candidate models before choosing one | Look up two models on the board | | Education | Students | Read a benchmark's results in one place | Open the Space and scan the ranking | People who want the benchmark explained or documented can skip it, because the README gives no description. ### 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 LVBench leaderboard page | | Read the code | Developers | A short Gradio app with its settings in constants.py | ### 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 5.46.1 and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download zai-org/LVBench --repo-type space --local-dir LVBench cd LVBench pip install gradio==5.46.1 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. The page lists the results, and you read the ranking from there. ### For newcomers and experts If you are new, open the Space in a browser and read the board. Nothing needs installing, and the README has no further notes. For experts, the repository is four files, app.py, constants.py, requirements.txt and the README, and the app runs on Gradio 5.46.1. The Space names the zai-org/LVBench 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 zai-org/LVBench dataset it names - Not for: none stated in the README ## README ````markdown # LVBench Leaderboard The leaderboard page for the LVBench benchmark from zai-org, run as a Gradio app that names the LVBench dataset. For researchers who want to see how models score on it. Made by zai-org 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 LVBench, published by zai-org. It is a Gradio app with its settings in constants.py, and it names the zai-org LVBench dataset. The README is only a configuration pointer, so it does not describe the benchmark itself. Who it suits: Researchers and teams that evaluate models and want to see how they rank on LVBench. ```table Industry | Who uses it | How they use it | Example AI research | Model researchers | Check how a model ranks on LVBench | Open the Space and read the board Engineering | ML engineers | Compare candidate models before choosing one | Look up two models on the board Education | Students | Read a benchmark's results in one place | Open the Space and scan the ranking ``` People who want the benchmark explained or documented can skip it, because the README gives no description. 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 LVBench leaderboard page Read the code | Developers | A short Gradio app with its settings in constants.py ``` 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 5.46.1 and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download zai-org/LVBench --repo-type space --local-dir LVBench cd LVBench pip install gradio==5.46.1 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. The page lists the results, and you read the ranking from there. For newcomers and experts: If you are new, open the Space in a browser and read the board. Nothing needs installing, and the README has no further notes. For experts, the repository is four files, app.py, constants.py, requirements.txt and the README, and the app runs on Gradio 5.46.1. The Space names the zai-org/LVBench 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 zai-org/LVBench dataset it names - Not for: none stated in the README ## On Hugging Face, 13 November 2026 - Likes: 18 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/zai-org/LVBench - Files: https://huggingface.co/spaces/zai-org/LVBench/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, 3 KB, downloaded as a zip. ```text README.md 3 KB ``` ## Source [zai-org/LVBench on Hugging Face](https://huggingface.co/spaces/zai-org/LVBench) ## 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 | | --- | --- | --- | --- | --- | | LVBench Leaderboard (this page) | 18 | gradio | mit | 2025-09-23 | | [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: 2025-09-23 - First published: 2024-08-22 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open zai-org/LVBench on Hugging Face](https://huggingface.co/spaces/zai-org/LVBench) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/013c3753-eb83-4642-ba08-5a73bb883c98) - [Its page on Mindket](https://mindket.com/p/013c3753-eb83-4642-ba08-5a73bb883c98)