LFM2.5-1.2B-Instruct
Liquid AI · 2026-01-05 · 1.2B parameters
LFM2.5-1.2B-Instruct is Liquid AI's general-purpose, text-only instruction-tuned checkpoint for on-device and edge deployment. It extends the LFM2 pretraining budget from 10T to 28T tokens, then applies supervised fine-tuning, preference alignment, and large-scale multi-stage reinforcement learning for instruction following and tool use. Its 16-layer hybrid backbone contains 10 double-gated LIV convolution blocks and six GQA blocks; although the released config sets max_position_embeddings to 128,000, the official checkpoint card documents a 32,768-token context length.