Liquid AI’s d1-3B Decision Model Is WILD… I Tested It Locally!

Liquid AI just released Open d1, two open-weight decision models that answer questions in one forward pass without writing a single token.
d1-3B handles text and images, and the tiny d1-omni-600M takes text plus an image or audio, with a walkthrough of both architecture diagrams.
I ran both locally on my MacBook Air M5 with an agent guardrail, a screen checker, a voice command router and a document triage test.
d1-3B scored 14/14 on guardrails and 8/8 on documents, while omni routed voice commands in about 75 ms but managed only 2/8 on documents.
Benchmarks, edge latency, real limits, and whether you should swap your label-only LLM calls for d1.

Sources:

Liquid AI blog: https://www.liquid.ai/blog/d1-open
Liquid AI launch thread on X: https://x.com/liquidai/status/2107878924831379676
d1-3B on Hugging Face: https://huggingface.co/LiquidAI/d1-3B
d1-omni-600M on Hugging Face: https://huggingface.co/LiquidAI/d1-omni-600M
Liquid docs, decision models: https://docs.liquid.ai/lfm/models/decision-models
Live camera demos (HF Space): https://huggingface.co/spaces/....LiquidAI/system-one-