LiquidAI/Vision-Language
Liquid AI's LFM2.5-VL-3B targets on-device vision
The 3-billion-parameter vision-language model is tuned for faster multimodal work on edge hardware.
Company
LiquidAI
5 models
Releases
LiquidAI/Embeddings
Liquid AI ships LFM2.5, a 2.6B on-device model
The latest Liquid Foundation Model targets multilingual text generation on laptops and phones, packaged in GGUF for local runtimes.
LiquidAI/Embeddings
Liquid AI's LFM2.5-2.6B targets on-device agents
A compact 2.6-billion-parameter model built to run local, multilingual agents without leaning on the cloud.
LiquidAI/Embeddings
Liquid AI's LFM2.5 encoder targets fast CPU inference
A 230M-parameter bidirectional encoder built for long-context English and German embeddings without a GPU.
LiquidAI/Embeddings
Liquid AI ships a 350M encoder built for CPUs
The compact LFM2.5 encoder targets fast, long-context text embeddings without a GPU.
LiquidAI/Text / LLM
Liquid AI's LFM2.5-230M targets on-device language tasks
A 230-million-parameter multilingual model built to run efficiently at the edge rather than in the cloud.
LiquidAI/Embeddings
Liquid AI ships a 350M multilingual embedding model
LFM2.5-Embedding-350M targets retrieval and search workloads on edge hardware, where compact size matters as much as accuracy.