F2LLM-v2-80M

Papers using or citing this model 1

• F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World 13 citations · 2026 · arXiv (Cornell University) · arXiv

  We present F2LLM-v2, a new family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a newly curated composite of 60 million publicly available high-quality data samples, F2LLM-v2...