News Brief2 min read
Liquid AI's LFM2.5-2.6B Matches Models Three Times Its Size on Agentic Tasks
Liquid AI released LFM2.5-2.6B on August 4, a 2.69B-parameter on-device model purpose-built for agentic workloads. Using a hybrid architecture of short convolution blocks and grouped query attention, it runs under 2.5 GB of memory and reaches approximately 220 tokens/s on Apple M5 Max — while matching or exceeding Qwen3.5-9B on tool use and instruction-following benchmarks.