Liquid D1 Omni 2B
Liquid AI's 2B decision model on LFM3, running fully offline on Apple silicon Macs: it answers typed questions about a text state, with images, as a choice, a score or a yes/no probability.
Liquid's D1 Omni 2B is an open-weight decision model. It reads a piece of text and answers typed questions about it, such as a choice between labels, a yes or no, or a score on a scale, with a probability for every option instead of written text. It runs entirely on your own hardware through Ollama: no API key and no per-use fees.
- Released
- Oct 2026
- Pricing
- Free, runs on your hardware
- Answers
- Choice, yes/no, score
Liquid
Liquid develops Liquid Foundation Models (LFM) — a new architecture optimized for efficient long-context reasoning.
www.liquid.ai ↗Liquid AI's mixture-of-experts reasoning model with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools.
Liquid AI's successor to D1, a structured decision model served as a System One endpoint for choice, score and yes/no answers about text and images.
Liquid AI's largest decision model, served as a System One endpoint: it reads text and images and answers typed questions with a choice, a score or a yes/no probability.
Liquid's 24B foundation model with efficient long-context reasoning.
Liquid's efficient 8B Liquid Foundation Model tuned for long-context reasoning on-device.
Liquid AI's first omni-modal LFM3 model (2.2B parameters), built for on-device use; the app sends it text and images.