metadata
license: mit
language:
- en
tags:
- sparse sparsity quantized onnx embeddings int8
This is the quantized (INT8) ONNX variant of the bge-base-en-v1.5 embeddings model created with DeepSparse Optimum for ONNX export/inference pipeline and Neural Magic's Sparsify for one-shot quantization.
Current list of sparse and quantized bge ONNX models:
| Links | Sparsification Method |
|---|---|
| zeroshot/bge-large-en-v1.5-sparse | Quantization (INT8) & 50% Pruning |
| zeroshot/bge-large-en-v1.5-quant | Quantization (INT8) |
| zeroshot/bge-base-en-v1.5-sparse | Quantization (INT8) & 50% Pruning |
| zeroshot/bge-base-en-v1.5-quant | Quantization (INT8) |
| zeroshot/bge-small-en-v1.5-sparse | Quantization (INT8) & 50% Pruning |
| zeroshot/bge-small-en-v1.5-quant | Quantization (INT8) |
For general questions on these models and sparsification methods, reach out to the engineering team on our community Slack.
