README.md

metadata

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 in lite/ and d3-nano in nano/, compiled into fusor-ai bundles: the weights the browser runtime of d3-wasm loads to decide questions about text, images and videos on the device's CPU. Try them in the Space 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.