If you came here hoping to run LiquidAI d1-Omni-2B locally as a small voice assistant, I'll save you the download first: it can't talk back, and it can't write back either. It listens to audio and returns typed answers with probabilities attached, and that's all you get out of it.

Hugging Face files d1-Omni-2B under audio-text-to-text, and that label sets the wrong expectations. Liquid calls it a "decision model". You give it a state (text, JSON, an image, a video, or an audio clip) and a set of named questions, and it answers all of them in one forward pass with zero generated tokens. The card says plainly that it "writes no transcript or speech", and the docs say it is not a chat model.

I think that's a good design, for reasons I'll get to below. But it changes what "running it locally" means, so here's what the 2B adds over the 600M, how much RAM it needs, and what works today in transformers, llama.cpp, Ollama, MLX and ONNX (as of late October 2026).…