LiquidAI/LFM2.5-Encoder 250M/350M

LFM2.5-Encoder-350M is a multilingual bidirectional encoder based on the LFM2 architecture, designed for high downstream quality. This masked language model uses full bidirectional attention and supports fine-tuning for tasks like classification, token classification, retrieval, reranking, and semantic similarity across 15 languages. It is optimized for efficient on-device operation, as demonstrated by its ability to fill masks, such as identifying "Paris" as the capital of France.

This model stands out for its on-device efficiency across 15 languages, unlike many larger models that require more powerful hardware for similar multilingual capabilities.