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# Homomorphic Projection Distillation
HPD TinyBERT F128
Apache-2.0
A sentence embedding model compressed via homomorphic projection distillation, containing only 14 million parameters with a model size of 55MB, suitable for semantic retrieval tasks
Text Embedding
Transformers
TransformersH
Xuandong
24
1
HPD MiniLM F128
Apache-2.0
A sentence representation model for semantic retrieval compressed via homomorphic projection distillation, with only 23 million parameters and a model size of 87MB
Text Embedding Transformers
TransformersH
Xuandong
13
0
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