mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-12-25 13:58:56 +01:00
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
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import functools
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from pathlib import Path
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import yaml
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def load_preset(name):
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generate_params = {
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'do_sample': True,
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'temperature': 1,
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'top_p': 1,
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'typical_p': 1,
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'epsilon_cutoff': 0,
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'eta_cutoff': 0,
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'tfs': 1,
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'top_a': 0,
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'repetition_penalty': 1,
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'encoder_repetition_penalty': 1,
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'top_k': 0,
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'num_beams': 1,
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'penalty_alpha': 0,
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'min_length': 0,
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'length_penalty': 1,
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'no_repeat_ngram_size': 0,
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'early_stopping': False,
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'mirostat_mode': 0,
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'mirostat_tau': 5.0,
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'mirostat_eta': 0.1,
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}
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with open(Path(f'presets/{name}.yaml'), 'r') as infile:
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preset = yaml.safe_load(infile)
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for k in preset:
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generate_params[k] = preset[k]
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generate_params['temperature'] = min(1.99, generate_params['temperature'])
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return generate_params
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@functools.cache
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def load_preset_memoized(name):
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return load_preset(name)
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def load_preset_for_ui(name, state):
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generate_params = load_preset(name)
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state.update(generate_params)
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return state, *[generate_params[k] for k in ['do_sample', 'temperature', 'top_p', 'typical_p', 'epsilon_cutoff', 'eta_cutoff', 'repetition_penalty', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping', 'mirostat_mode', 'mirostat_tau', 'mirostat_eta', 'tfs', 'top_a']]
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def generate_preset_yaml(state):
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data = {k: state[k] for k in ['do_sample', 'temperature', 'top_p', 'typical_p', 'epsilon_cutoff', 'eta_cutoff', 'repetition_penalty', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping', 'mirostat_mode', 'mirostat_tau', 'mirostat_eta', 'tfs', 'top_a']}
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return yaml.dump(data, sort_keys=False)
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