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bge-large-en-v1.5-sparse

Feature Extraction
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sparse sparsity quantized onnx embeddings int8
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@@ -9,14 +9,14 @@ Model achieves 98% accuracy recovery on the STSB validation dataset vs. [dense O
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  Current up-to-date list of sparse and quantized bge ONNX models:
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- zeroshot/bge-large-en-v1.5-sparse
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- zeroshot/bge-large-en-v1.5-quant
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- zeroshot/bge-base-en-v1.5-sparse
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- zeroshot/bge-base-en-v1.5-quant
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- zeroshot/bge-small-en-v1.5-sparse
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- zeroshot/bge-small-en-v1.5-quant
 
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  Current up-to-date list of sparse and quantized bge ONNX models:
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+ [zeroshot/bge-large-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-large-en-v1.5-sparse)
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+ [zeroshot/bge-large-en-v1.5-quant](https://huggingface.co/zeroshot/bge-large-en-v1.5-quant)
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+ [zeroshot/bge-base-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-base-en-v1.5-sparse)
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+ [zeroshot/bge-base-en-v1.5-quant](https://huggingface.co/zeroshot/bge-base-en-v1.5-quant)
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+ [zeroshot/bge-small-en-v1.5-sparse](https://huggingface.co/zeroshot/bge-small-en-v1.5-sparse)
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+ [zeroshot/bge-small-en-v1.5-quant](https://huggingface.co/zeroshot/bge-small-en-v1.5-quant)