AI is happening. The future is updating.mxbai-embed-2d-large-v1
π Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. This is our 2DMSE sentence embedding model. It supports the adaptive transformer layer and embedding size. Find out more in our blog post. TLDR: 2D-πͺ allows you to shrink the model and the embeddings layer. Shrinking only the embeddings model yields competetive results to other models like nomics embeddings model. Shrinking the model to ~50% maintains upto 85% of the performance without further training.
π Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. This is our 2DMSE sentence embedding model. It supports the adaptive transformer layer and embedding size. Find out more in our blog post. TLDR: 2D-πͺ allows you to shrink the model and the embeddings layer. Shrinking only the embeddings model yields competetive results to other models like nomics embeddings model. Shrinking the model to ~50% maintains upto 85% of the performance without further training.