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
Resources
Adoption · Hugging Face
RAM score
Relative Adoption Metric not scored because required parameter, download, or API metadata is not cataloged. This is not a zero score.
Hugging Face Downloads
717
last 30d
160K
all time
HF Likes
109
Relative Adoption Metric not scored because required parameter, download, or API metadata is not cataloged. This is not a zero score.
Related Models
