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Empty the cuda cache at model.generate()
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@ -73,6 +73,8 @@ def formatted_outputs(reply, model_name):
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return reply
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return reply
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def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=None, stopping_string=None):
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def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=None, stopping_string=None):
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torch.cuda.empty_cache()
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original_question = question
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original_question = question
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if not (shared.args.chat or shared.args.cai_chat):
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if not (shared.args.chat or shared.args.cai_chat):
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question = apply_extensions(question, "input")
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question = apply_extensions(question, "input")
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