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Better handle spaces in LlamaTokenizer
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@ -107,8 +107,10 @@ def get_reply_from_output_ids(output_ids, input_ids, original_question, state, i
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else:
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new_tokens = len(output_ids) - len(input_ids[0])
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reply = decode(output_ids[-new_tokens:], state['skip_special_tokens'])
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if type(shared.tokenizer) is transformers.LlamaTokenizer:
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if len(original_question) > 0 and original_question[-1] not in [' ', '\n']:
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# Prevent LlamaTokenizer from skipping a space
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if type(shared.tokenizer) is transformers.LlamaTokenizer and len(output_ids) > 0:
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if shared.tokenizer.convert_ids_to_tokens(int(output_ids[-new_tokens])).startswith('▁'):
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reply = ' ' + reply
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if not is_chat:
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