#liquidai
Liquidai: 6 AI articles covering liquidai news, analysis, and research
Articles
Build Specialized Multimodal Models with LFM3⭐9
Build specialized multimodal models with LFM3 on the LFM2.5-8B-A1B base. Fine-tune compact, task-focused models for efficient, low-cost domain deployment.
Run Fast, Private Agents On-Device with LFM2.5-24B-A2B⭐8
LFM2.5-24B-A2B is LiquidAI's 24B sparse model for fast, private on-device AI agents. Learn its architecture, use cases, and how to run it locally.
Multimodal Open Decision Models for the Edge: LiquidAI's LFM2.5⭐8
LiquidAI's LFM2.5-Encoder-350M is a compact 0.4B multimodal encoder built for edge AI, powering fast, on-device decision models and real-time pipelines.
Up to 3.2x Faster Inference with LFM2.5-DSpark⭐8
Discover LiquidAI's LFM2.5-DSpark: 3.2x faster inference with sparse MoE, low active parameters, and real-time edge deployment compatibility.
Deploy Local Agents Everywhere with LFM2.5-2.6B⭐9
Deploy LFM2.5-2.6B locally for private, low-latency AI agents on edge devices. Cost-efficient, offline-ready, and ideal for privacy-first applications.
LFM2.5-Encoders for Fast Long-Context Inference on CPU⭐8
LFM2.5-Encoders enable fast long-context inference on CPU with 0.2B parameters. Optimized for edge devices, privacy, and offline use. Hugging Face model with 69...