Add Classifier Free Guidance (CFG) for Transformers/ExLlama (#3325)
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17 changed files with 131 additions and 42 deletions
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@ -226,9 +226,12 @@ def _generate_reply(question, state, stopping_strings=None, is_chat=False):
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def generate_reply_HF(question, original_question, seed, state, stopping_strings=None, is_chat=False):
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generate_params = {}
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for k in ['max_new_tokens', 'do_sample', 'temperature', 'top_p', 'typical_p', 'repetition_penalty', 'repetition_penalty_range', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping', 'tfs', 'top_a', 'mirostat_mode', 'mirostat_tau', 'mirostat_eta']:
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for k in ['max_new_tokens', 'do_sample', 'temperature', 'top_p', 'typical_p', 'repetition_penalty', 'repetition_penalty_range', 'encoder_repetition_penalty', 'top_k', 'min_length', 'no_repeat_ngram_size', 'num_beams', 'penalty_alpha', 'length_penalty', 'early_stopping', 'tfs', 'top_a', 'mirostat_mode', 'mirostat_tau', 'mirostat_eta', 'guidance_scale']:
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generate_params[k] = state[k]
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if state['negative_prompt'] != '':
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generate_params['negative_prompt_ids'] = encode(state['negative_prompt'])
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for k in ['epsilon_cutoff', 'eta_cutoff']:
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if state[k] > 0:
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generate_params[k] = state[k] * 1e-4
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