We beat Gemini Embedding 2 by training only 16M params (open weights)

Fusion Embedding 1 is an open-weights text embedding model from EximiusLabs with 16 million trainable parameters. It is designed to compete with larger embedding models, including Google's Gemini Embedding 2, on standard benchmarks. The model weights are hosted on Hugging Face and are available for public use.