config.json

{
  "architectures": [
    "BayesianDetectorModel"
  ],
  "base_rate": 0.5,
  "model_name": "google/gemma-2b-it",
  "torch_dtype": "float32",
  "transformers_version": "4.46.0.dev0",
  "watermarking_config": {
    "context_history_size": 1024,
    "keys": [
      654,
      400,
      836,
      123,
      340,
      443,
      597,
      160,
      57,
      29,
      590,
      639,
      13,
      715,
      468,
      990,
      966,
      226,
      324,
      585,
      118,
      504,
      421,
      521,
      129,
      669,
      732,
      225,
      90,
      960
    ],
    "ngram_len": 5,
    "sampling_table_seed": 0,
    "sampling_table_size": 65536
  },
  "watermarking_depth": 30
}