LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-2.6B

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2.5-2.6B-GGUF --conversation \
    --temp 0.1 --top-k 50 --repeat-penalty 1.1

The Quantization-Aware Distillation (QAD) checkpoint is available as LFM2.5-2.6B-QAD-Q4_0.gguf.

This is distinct from the post-training-quantized LFM2.5-2.6B-Q4_0.gguf; both use the GGUF Q4_0 format.