yt-curiosity-quantized / ort_config.json
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{
"one_external_file": true,
"opset": null,
"optimization": {},
"optimum_version": "1.14.1",
"quantization": {
"activations_dtype": "QUInt8",
"activations_symmetric": false,
"format": "QOperator",
"is_static": false,
"mode": "IntegerOps",
"nodes_to_exclude": [],
"nodes_to_quantize": [],
"operators_to_quantize": [
"Conv",
"MatMul",
"Attention",
"LSTM",
"Gather",
"Transpose",
"EmbedLayerNormalization"
],
"per_channel": true,
"qdq_add_pair_to_weight": false,
"qdq_dedicated_pair": false,
"qdq_op_type_per_channel_support_to_axis": {
"MatMul": 1
},
"reduce_range": false,
"weights_dtype": "QInt8",
"weights_symmetric": true
},
"transformers_version": "4.34.1",
"use_external_data_format": false
}