LFM2-2.6B
Liquid AI · 2025-09-23 · 2.6B parameters
LFM2-2.6B is Liquid AI's 2,569,272,320-parameter dense, post-trained LFM2 checkpoint for on-device chat, reasoning, and tool use. Its 30-layer hybrid backbone interleaves 22 gated short-convolution blocks with eight grouped-query-attention blocks, and the model can emit dynamic `<think>`/`</think>` traces for complex or multilingual prompts. Liquid's model card and technical report specify a 32,768-token supported context, although the current Hugging Face config sets `max_position_embeddings` to 128,000.