Upload openvino_config.json with huggingface_hub
Browse files- openvino_config.json +72 -0
openvino_config.json
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{
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"dtype": "int8_int8_int8",
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"input_info": null,
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"optimum_version": "1.26.1",
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"quantization_config": {
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"dataset": "contextual",
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"ignored_scope": null,
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"num_samples": 200,
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"processor": null,
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"quantization_configs": {
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"lm_model": {
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"bits": 8,
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"dataset": null,
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"dtype": "int8",
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"fast_bias_correction": true,
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"ignored_scope": null,
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"model_type": "transformer",
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"num_samples": null,
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"overflow_fix": "disable",
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"processor": null,
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"smooth_quant_alpha": null,
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"sym": false,
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"tokenizer": null,
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"trust_remote_code": false
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},
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"text_embeddings_model": {
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"all_layers": null,
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"backup_precision": null,
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"bits": 8,
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"dataset": null,
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"dtype": "int8",
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"gptq": null,
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"group_size": -1,
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"ignored_scope": null,
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"lora_correction": null,
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"num_samples": null,
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"processor": null,
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"quant_method": "default",
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"ratio": 1.0,
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"scale_estimation": null,
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"sensitivity_metric": null,
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"sym": false,
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"tokenizer": null,
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"trust_remote_code": false
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},
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"vision_embeddings_model": {
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"all_layers": null,
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"backup_precision": null,
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"bits": 8,
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"dataset": null,
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"dtype": "int8",
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"gptq": null,
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"group_size": -1,
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"ignored_scope": null,
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"lora_correction": null,
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"num_samples": null,
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"processor": null,
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"quant_method": "default",
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"ratio": 1.0,
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"scale_estimation": null,
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"sensitivity_metric": null,
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"sym": false,
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"tokenizer": null,
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"trust_remote_code": false
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}
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},
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"tokenizer": null,
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"trust_remote_code": false
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},
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"save_onnx_model": false,
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"transformers_version": "4.52.4"
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}
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