| --- |
| license: apache-2.0 |
| base_model: |
| - vllm-sr/d3-lite |
| - vllm-sr/d3-nano |
| pipeline_tag: image-text-to-text |
| library_name: fusor-ai |
| tags: |
| - webassembly |
| - wasm |
| - on-device |
| --- |
| |
| # Decision 3.0, compiled for the browser |
|
|
| vLLM Semantic Router's Decision 3.0 models, [d3-lite](https://huggingface.co/vllm-sr/d3-lite) in |
| `lite/` and [d3-nano](https://huggingface.co/vllm-sr/d3-nano) in `nano/`, compiled into |
| [fusor-ai](https://github.com/fusor-rs/fusor-ai) bundles: the weights the browser runtime of |
| [d3-wasm](https://github.com/fusor-rs/d3-wasm) loads to decide questions about text, images and |
| videos on the device's CPU. Try them in the Space |
| [fusorlabs/d3-wasm](https://huggingface.co/spaces/fusorlabs/d3-wasm). |
|
|
| - **Source:** `vllm-sr/d3-lite` at revision `03560c26f5199c3c04129a2ccb38960c913635e0`, compiled |
| with the `q7` profile, every large matrix 7-bit (984 MB); `vllm-sr/d3-nano` at revision |
| `462efc366229ea268cf4eed3738b3fc4415e4817`, compiled with the `mix` profile, 4-bit |
| feed-forwards and everything else 7-bit (2066 MB). |
| - **Format:** each `manifest.json` lists every tensor and part; each part is named by its BLAKE3 |
| hash, which the runtime checks as it loads. |
| - **Reproduce them:** `just model` in d3-wasm downloads the checkpoints and compiles the same |
| bundles. |
|
|
| These are not PyTorch or safetensors checkpoints: they only load in the d3-wasm runtime. |
|
|
| The models are Apache-2.0, built on Qwen3.5; each size ships its LICENSE and NOTICE. |
|
|
