This is MongoDB's mdbr-leaf-ir (revision 4262131b, Apache License 2.0), converted to Core ML by Innerloop for Breadcrumb's search and recall by meaning. All credit for the model goes to MongoDB. - leaf.mlmodelc: the compiled Core ML program, fp16 storage, macOS 14+. Input inputids (int32, shape [1, L], L one of 16, 32, 64, 128, 256, 512; pad with 0). Output embedding: the finished 768-float, unit-length vector. The model's own mean pooling, its 384-to-768 dense layer and its normalisation are inside the program. - vocab.txt: the model's own WordPiece vocabulary (BERT uncased), unchanged. - Queries take the prefix Represent this sentence for searching relevant passages:; documents take none.…
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Justin Vincent
innerloop-dev
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Published tasks: Feature extraction.
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