Nomic, well known for their embedding models, released a multimodal embedding model based on Qwen2.5-VL. Alongside the usual, single-vector model, they also release a ColBERT-style, multi-vector model, boosting the performance even further. Their blog post reveals some of the tricks used to improve the performance during training.
Specs
Params7B
LicenseApache-2.0
Tags
modelsmodels/embeddingmultilingualmodels/llms/multi-modalartifacts/9
Related Models



