vllm-sr/d3

zero-shot-classification model by vllm-sr

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d3 is the 27B multimodal foundation decision model of Decision 3.0, the decision models of vLLM Semantic Router. Give it an input (text or JSON, optionally with images and videos) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all in one call and returns a probability for every answer, without generating text. Try it free at decision.vllm-sr.ai · Official Space: vllm-sr/Decision-3.0 Images go before the text of the request, each read at up to 1.6 megapixels; videos follow the images, read at 2 frames per second (at most 32 frames spread over the whole video, each at up to 0.2 megapixels). Every question of the request sees all of them. vLLM serves d3 natively: vllm serve loads this repository as it is, with no conversion, and answers on vLLM's System One endpoint, /v1/systemone. The support…

vllm-sr/d3 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. d3
  2. Highlights
  3. Quickstart
  4. Run with vLLM
  5. Run with vLLM Semantic Router
  6. Serving performance
  7. Evaluation
  8. Text: Jev Decision Index 0.3.2
  9. Images: Jev Decision Index vision board 0.3.2
  10. Videos: Perception Test
  11. License
  12. Citation

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

vllm-sr/d3 is a zero-shot-classification model repository published by vllm-sr on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
zero-shot-classification
Library
transformers
Recent downloads (30 days)
5,959
Cumulative likes
262
Hugging Face trending score
78
Reported safetensors parameters
26,085,330,160
Architecture
Qwen3_5Model
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-10T09:38:30.000Z
Last modified
2026-10-17T15:02:22.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.8-27B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-22T06:44:02.555Z. Daily imports are snapshots, not real-time monitoring.

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