Liquid AI releases LFM2.5-350M -> Agentic loops at 350M parameters
r/LocalLLaMA
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Generative AI
Reinforcement Learning
LFM2.5-350M by Liquid AI was trained for reliable data extraction and tool use. At <500MB when quantized, it is built for environments where compute, memory, and latency are particularly constrained. Trained on 28T tokens with scaled RL, it outperforms larger models like Qwen3.5-0.8B in most benchmarks; while being significantly faster and memory efficient. Runs across CPUs, GPUs, and mobile hardware Fast, efficient, and low-latency Reliable function calling and agent workflows Consistent structured outputs you can depend on.