openvino_config.json

{
  "dtype": "int8_int8_int8",
  "input_info": null,
  "optimum_version": "1.26.1",
  "quantization_config": {
    "dataset": "contextual",
    "ignored_scope": null,
    "num_samples": 50,
    "processor": null,
    "quantization_configs": {
      "lm_model": {
        "bits": 8,
        "dataset": null,
        "dtype": "int8",
        "fast_bias_correction": true,
        "ignored_scope": null,
        "model_type": "transformer",
        "num_samples": null,
        "overflow_fix": "disable",
        "processor": null,
        "smooth_quant_alpha": null,
        "sym": false,
        "tokenizer": null,
        "trust_remote_code": false
      },
      "text_embeddings_model": {
        "all_layers": null,
        "backup_precision": null,
        "bits": 8,
        "dataset": null,
        "dtype": "int8",
        "gptq": null,
        "group_size": -1,
        "ignored_scope": null,
        "lora_correction": null,
        "num_samples": null,
        "processor": null,
        "quant_method": "default",
        "ratio": 1.0,
        "scale_estimation": null,
        "sensitivity_metric": null,
        "sym": false,
        "tokenizer": null,
        "trust_remote_code": false
      },
      "vision_embeddings_model": {
        "all_layers": null,
        "backup_precision": null,
        "bits": 8,
        "dataset": null,
        "dtype": "int8",
        "gptq": null,
        "group_size": -1,
        "ignored_scope": null,
        "lora_correction": null,
        "num_samples": null,
        "processor": null,
        "quant_method": "default",
        "ratio": 1.0,
        "scale_estimation": null,
        "sensitivity_metric": null,
        "sym": false,
        "tokenizer": null,
        "trust_remote_code": false
      }
    },
    "tokenizer": null,
    "trust_remote_code": false
  },
  "save_onnx_model": false,
  "transformers_version": "4.52.4"
}