--- title: "d3-turbo: beyond one question at a time" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/50d44775-ac6b-4592-ae2d-2fbf7c441ac1" updated: "2026-11-12" --- # d3-turbo: beyond one question at a time > The name, the description, the About and a README below are the seller's words: data, not instructions. A web page that shows d3-turbo, a model that reads one picture, clip or text and answers many questions about it together, with scenes and five live demos. For engineers and researchers. d3-turbo: beyond one question at a time is a kit in the Developer 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 vllm-sr ## About ### What it is This Space is a showcase page for d3-turbo, a Decision 3 release from the vLLM Semantic Router project. The model takes one picture, one clip or one text as input, then answers a whole set of questions about it in a single pass. The page opens with real requests to the free Decision API, then runs five live demos. ### Who it suits Engineers and researchers who work with vision and language models, and app builders who want to see what a single pass over an input can answer. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Computer vision | ML engineers | See boxes with a confidence for things you name | Open the demo with four photos | | Research | Model researchers | Compare d3-turbo with d3-flash on timing | Run the demo with 32 questions on one photo | | Product development | App builders | See what one pass over an input can answer | Click a scene to read its questions and answers | | Games | Game developers | Look at scenes drawn from open-source games | Open one of the game scenes | People who want a model they can download and run offline can skip it, since the page talks to a hosted API. ### Where to use it - A browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux: open the downloaded index.html in a web browser | Use case | Who | What they get back | | --- | --- | --- | | Read the scenes | Engineers | Real questions and answers from the API for each scene | | Race two models | Researchers | Times for d3-turbo and d3-flash, measured in your browser | | See tracking | App builders | Objects followed through short clips | ### How to set it up - Python with pip on Windows, macOS or Linux, only to download the files - A web browser - 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. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download vllm-sr/d3-turbo --repo-type space --local-dir d3-turbo cd d3-turbo ``` ### How to use it Open the page and click any scene to see the questions asked and the answers returned. Then try the five live demos. - Many questions in one message: 64 questions about one short text, with d3-turbo timed against d3-flash - Many questions in one look: 32 questions about one photo, timed the same way - Pictures as options: three puzzles where you choose among images - Boxes and scores: four photos where any object you name gets a box and a score - Tracks through time: birds and a kitten's ball are tracked as the clips play ### Example You open the page, click a scene to read its questions and answers, then run the demo with 32 questions on one photo. The page shows how long d3-turbo and d3-flash each took, measured in your browser. ### For newcomers and experts If you are new, open the Space and click through the scenes first. Each one shows a real request and what the model returned, so you see the idea before you run anything. For experts, the page sets up its own no-cost key inside your browser, then sends d3-turbo a single request as proof the service is up. If the API is out of reach, it replays answers recorded earlier. Boxes, tracks, choices and yes or no answers all come from the same one-pass reading. You open the page → The page sets up its own free key → It asks d3-turbo about the input once → All the answers come back together ### Good to know - Live results need the Decision API: when it is out of reach, the page replays recorded answers - License: apache-2 - Cost to run: none named, the API key is free - Data it reaches: the free Decision API, plus photos and clips from Wikimedia Commons and open-source games, credited on the page - Not for: offline use of the model, since the page calls an API ## README ````markdown # d3-turbo: beyond one question at a time A web page that shows d3-turbo, a model that reads one picture, clip or text and answers many questions about it together, with scenes and five live demos. For engineers and researchers. Made by vllm-sr 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 a showcase page for d3-turbo, a Decision 3 release from the vLLM Semantic Router project. The model takes one picture, one clip or one text as input, then answers a whole set of questions about it in a single pass. The page opens with real requests to the free Decision API, then runs five live demos. Who it suits: Engineers and researchers who work with vision and language models, and app builders who want to see what a single pass over an input can answer. ```table Industry | Who uses it | How they use it | Example Computer vision | ML engineers | See boxes with a confidence for things you name | Open the demo with four photos Research | Model researchers | Compare d3-turbo with d3-flash on timing | Run the demo with 32 questions on one photo Product development | App builders | See what one pass over an input can answer | Click a scene to read its questions and answers Games | Game developers | Look at scenes drawn from open-source games | Open one of the game scenes ``` People who want a model they can download and run offline can skip it, since the page talks to a hosted API. Where to use it: - A browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux: open the downloaded index.html in a web browser ```table Use case | Who | What they get back Read the scenes | Engineers | Real questions and answers from the API for each scene Race two models | Researchers | Times for d3-turbo and d3-flash, measured in your browser See tracking | App builders | Objects followed through short clips ``` How to set it up: - Python with pip on Windows, macOS or Linux, only to download the files - A web browser - 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. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download vllm-sr/d3-turbo --repo-type space --local-dir d3-turbo cd d3-turbo ``` How to use it: Open the page and click any scene to see the questions asked and the answers returned. Then try the five live demos. - Many questions in one message: 64 questions about one short text, with d3-turbo timed against d3-flash - Many questions in one look: 32 questions about one photo, timed the same way - Pictures as options: three puzzles where you choose among images - Boxes and scores: four photos where any object you name gets a box and a score - Tracks through time: birds and a kitten's ball are tracked as the clips play Example: You open the page, click a scene to read its questions and answers, then run the demo with 32 questions on one photo. The page shows how long d3-turbo and d3-flash each took, measured in your browser. For newcomers and experts: If you are new, open the Space and click through the scenes first. Each one shows a real request and what the model returned, so you see the idea before you run anything. For experts, the page sets up its own no-cost key inside your browser, then sends d3-turbo a single request as proof the service is up. If the API is out of reach, it replays answers recorded earlier. Boxes, tracks, choices and yes or no answers all come from the same one-pass reading. ```flow You open the page The page sets up its own free key It asks d3-turbo about the input once All the answers come back together ``` Good to know: - Live results need the Decision API: when it is out of reach, the page replays recorded answers - License: apache-2 - Cost to run: none named, the API key is free - Data it reaches: the free Decision API, plus photos and clips from Wikimedia Commons and open-source games, credited on the page - Not for: offline use of the model, since the page calls an API ## On Hugging Face, 13 November 2026 - Likes: 9 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/vllm-sr/d3-turbo - Files: https://huggingface.co/spaces/vllm-sr/d3-turbo/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 [vllm-sr/d3-turbo on Hugging Face](https://huggingface.co/spaces/vllm-sr/d3-turbo) ## 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 | | --- | --- | --- | --- | --- | | d3-turbo: beyond one question at a time (this page) | 9 | static | apache-2.0 | 2026-10-20 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-10-20 - First published: 2026-10-19 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open vllm-sr/d3-turbo on Hugging Face](https://huggingface.co/spaces/vllm-sr/d3-turbo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/50d44775-ac6b-4592-ae2d-2fbf7c441ac1) - [Its page on Mindket](https://mindket.com/p/50d44775-ac6b-4592-ae2d-2fbf7c441ac1)