zeroentropy
/

zembed-1-embedding

Feature Extraction

sentence-transformers

text-embeddings-inference

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by ghita-ha - opened Mar 9

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@@ -31,7 +31,7 @@ zembed-1 is distilled directly from our SOTA reranker [zerank-2](https://hugging
 The model supports flexible dimension projections (2560, 1280, 640, 320, 160, 80, 40) and quantization down to binary, compressing a full 8 KB vector to under 128 bytes with a controlled accuracy trade-off. See our Technical Report (Coming soon!) for details on the projection method. zembed-1 is multilingual from the ground up, with over half the training data in non-English languages.
-Since we're a small company, this model is only released under a non-commercial license. If you'd like a commercial license, please contact us at founders@zeroentropy.dev and we'll get you a license ASAP.
 ## How to Use

 The model supports flexible dimension projections (2560, 1280, 640, 320, 160, 80, 40) and quantization down to binary, compressing a full 8 KB vector to under 128 bytes with a controlled accuracy trade-off. See our Technical Report (Coming soon!) for details on the projection method. zembed-1 is multilingual from the ground up, with over half the training data in non-English languages.
+This model is released under a non-commercial license. If you'd like a commercial license, please contact us at contact@zeroentropy.dev.
 ## How to Use