LFM2-VL-3B is a multimodal vision-language model developed by Liquid AI, built on the LFM2 backbone architecture. It has powerful visual understanding and reasoning capabilities, especially excelling in fine-grained perception tasks. This model can efficiently process text and image inputs and supports native image processing with a resolution of up to 512×512.

MultimodalTransformersMultiple Languages

LFM2-8B-A1B-qx86-hi-mlx is an efficient inference model based on the MLX format, converted from LiquidAI/LFM2-8B-A1B. This model adopts a mixture-of-experts architecture and demonstrates卓越的 efficiency in inference tasks. It is particularly擅长 at complex logical reasoning tasks and supports multilingual processing.

Natural Language ProcessingMlxMultiple Languages

LFM2 is a new-generation hybrid model developed by Liquid AI, designed specifically for edge AI and device-side deployment. It sets a new standard in terms of quality, speed, and memory efficiency. This model adopts an innovative hybrid Liquid architecture with multiplicative gates and short convolutions, supporting multilingual processing.

Natural Language ProcessingTransformersMultiple Languages

TARS-1B is a non-Transformer liquid neural network language model with 1 billion parameters, built entirely from scratch. It adopts an innovative liquid neural network architecture and is designed for continuous time inference and efficient generalization. The model was pre-trained using only 300 million tokens and demonstrated impressive performance in multiple benchmark tests.

Natural Language ProcessingSafetensors