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# coding=utf-8
# Copyright 2023 Anonymous Authors of "A Watermark for Large Language Models"
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from argparse import Namespace
args = Namespace()
arg_dict = {
'run_gradio': True,
'demo_public': False,
# 'model_name_or_path': 'bigscience/bloom',
'model_name_or_path': 'facebook/opt-6.7b',
# 'load_fp16' : False,
'load_fp16' : True,
'prompt_max_length': None,
'max_new_tokens': 200,
'generation_seed': 123,
'use_sampling': True,
'n_beams': 1,
'sampling_temp': 0.7,
'use_gpu': True,
'seeding_scheme': 'simple_1',
'gamma': 0.5,
'delta': 2.0,
'normalizers': '',
'ignore_repeated_bigrams': False,
'detection_z_threshold': 4.0,
'select_green_tokens': True,
# 'skip_model_load': True,
'skip_model_load': False,
'seed_separately': True,
}
args.__dict__.update(arg_dict)
from demo_watermark import main
main(args)
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