Liquid AI releases small on-device agentic model, open weights

Liquid AI released LFM2.5-2.6B, a 2.69-billion-parameter agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. It handles 131,072 tokens of context, decodes at 220 tokens per second on an Apple M5 Max in under 2.5GB, and ships as open weights in GGUF, MLX, and ONNX formats.

Why it matters: Small, efficient on-device models with real tool-calling and long context continue to close the gap with cloud models for agentic tasks, which matters for privacy-sensitive or offline applications and reduces dependence on API costs - part of a broader trend of open-weight models targeting edge deployment.