Liquid AI
Massachusetts, संयुक्त राज्यLiquid AI के बारे में
Liquid AI is a US AI company headquartered in Cambridge, Massachusetts. It builds efficient, general-purpose foundation models for organisations, publishing models and related resources publicly (e.g., on Hugging Face) alongside its main site.
प्रदर्शन
Liquid AI के मॉडलों का हालिया Gateway प्रदर्शन।
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इस लैब के मॉडल Gateway ट्रैफ़िक संभालेंगे, तब प्रदर्शन मेट्रिक्स दिखाई देंगे।
नवीनतम मॉडल
उपलब्धता, संदर्भ, कीमतों और उपयोग की जानकारी वाले हालिया रिलीज़।
Liquid AI open-weight 1.92B decision model built on LFM3-VL-2B. Answers classification, routing and scoring questions over text, images and video in one forward pass, without generating tokens.
Liquid AI open-weight 2.17B decision model built on LFM3-Omni-2B. Adds audio input to d1-2B for classification, routing and scoring in one forward pass, without generating tokens.
Liquid AI open-weight 1.73B text model with a 256K-token context window, built for local agents, tool calling and structured output. Reasons before answering by default.
Liquid AI open-weight 2B audio model for speech recognition, text-to-speech, speech translation and spoken tool calling in 18 languages, answering in text, speech or both.
Liquid AI's first omni model: a 2.17B open-weight model that understands text, images, video and audio and answers in text, speech or interleaved text and speech.
Liquid AI open-weight 1.92B vision-language model that reads text, images and video at native resolution, with a 128K-token context window and optional reasoning.
Liquid AI hosted decision model for classification, routing and scoring from text and images. Returns Noul, Choice and Score probabilities without generating tokens.
Liquid AI multimodal decision model for classification, routing and scoring from text and images, returning probabilities without generating tokens.
Liquid AI mixture-of-experts reasoning model with 24B total and 2B active parameters, a 131,072-token context window and tool calling.
Liquid AI decision model for classification, routing and scoring, returning calibrated probabilities without generating tokens.
D1 (Free) is a decision model from Liquid AI for classification, routing and scoring. It reads text and images together with typed yes/no, choice or score questions and returns probabilities in a single pass without generating any tokens.
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
वेब पर
आधिकारिक प्रोफ़ाइल, शोध और समुदाय चैनल।
