File size: 1,189 Bytes
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license: apache-2.0
base_model:
- vllm-sr/d3-lite
- vllm-sr/d3-nano
- vllm-sr/d3-mini
library_name: coreml
pipeline_tag: zero-shot-classification
tags:
- coreml
- apple-silicon
- decision-model
- vision
- video
---
# Decision 3.0 — Core ML
[Decision 3.0](https://huggingface.co/collections/vllm-sr/decision-30) by the vLLM Semantic Router team, converted to Core ML for Apple silicon: text, image and video requests on device. Same contract as upstream: one forward pass per question, the 255-way FP32 readout at the last prompt token, a probability for every option, no text generated.
| Folder | Upstream | Size |
|---|---|---|
| [`lite/`](lite) | [vllm-sr/d3-lite](https://huggingface.co/vllm-sr/d3-lite) | 0.8B |
| [`nano/`](nano) | [vllm-sr/d3-nano](https://huggingface.co/vllm-sr/d3-nano) | 2B |
| [`mini/`](mini) | [vllm-sr/d3-mini](https://huggingface.co/vllm-sr/d3-mini) | 4B |
Each folder is a full release (text graphs, vision tower, host tables, Python host) with its own README covering files, parity against upstream and speed. Swift: `D3VisionManager` in [FluidUse](https://github.com/FluidInference/FluidUse) loads any of them.
License: Apache-2.0, as upstream.
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