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# small_128_all-MiniLM-L6-v2
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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This
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The script for distilling this model into various sizes can be found here:
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# small_128_all-MiniLM-L6-v2
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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This gives it faster similarity comparison time although inference time will remain about the same.
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This model was made using knowledge distillation techniques on the original 384 dimensional all-MiniLM-L6-v2 model.
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The script for distilling this model into various sizes can be found here:
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