Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference
Juni 28, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Liquid AI shipped LFM2.5-230M, it’s the company’s smallest model to date. The release targets a...
Liquid AI Releases LocalCowork Powered By LFM2-24B-A2B to Execute Privacy-First Agent Workflows Locally Via Model Context Protocol (MCP)
März 6, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Liquid AI has released LFM2-24B-A2B, a model optimized for local, low-latency tool dispatch, alongside LocalCowork...
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
August 13, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Yesterday, Liquid AI released LFM2.5-VL-3B. It is a 3.1B-parameter vision-language model built for on-device deployment...
Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: Bidirectional Encoders That Stay Fast at 8K Context on CPU
Juli 29, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Liquid AI has released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. Both are masked language...
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
August 21, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Liquid AI has released DSpark draft model checkpoints for three models in its LFM2.5 family:...
Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG
Oktober 29, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)Can a compact late interaction retriever index once and deliver accurate cross lingual search with...
Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
Oktober 11, 2025admin NUAI,Committee,Nachrichten,Uncategorized(0)How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on...
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
April 1, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more...
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
August 26, 2026admin NUAI,Committee,Nachrichten,Uncategorized(0)Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same...
