<?xml version="1.0"?> <net name="detokenizer" version="11"> <layers> <layer id="0" name="Parameter_951981" type="Parameter" version="opset1"> <data shape="?,?" element_type="i64" /> <output> <port id="0" precision="I64" names="Parameter_951981"> <dim>-1</dim> <dim>-1</dim> </port> </output> </layer> <layer id="1" name="Constant_951949" type="Const" version="opset1"> <data element_type="u8" shape="1536773" offset="0" size="1536773" /> <output> <port id="0" precision="U8"> <dim>1536773</dim> </port> </output> </layer> <layer id="2" name="Convert_951991" type="Convert" version="opset1"> <data destination_type="i32" /> <input> <port id="0" precision="I64"> <dim>-1</dim> <dim>-1</dim> </port> </input> <output> <port id="1" precision="I32"> <dim>-1</dim> <dim>-1</dim> </port> </output> </layer> <layer id="3" name="SentencepieceDetokenizer_951982" type="SentencepieceDetokenizer" version="extension"> <input> <port id="0" precision="U8"> <dim>1536773</dim> </port> <port id="1" precision="I32"> <dim>-1</dim> <dim>-1</dim> </port> </input> <output> <port id="2" precision="I32"> <dim>-1</dim> </port> <port id="3" precision="I32"> <dim>-1</dim> </port> <port id="4" precision="U8"> <dim>-1</dim> </port> </output> </layer> <layer id="4" name="StringTensorPack_951983" type="StringTensorPack" version="extension"> <data mode="begins_ends" /> <input> <port id="0" precision="I32"> <dim>-1</dim> </port> <port id="1" precision="I32"> <dim>-1</dim> </port> <port id="2" precision="U8"> <dim>-1</dim> </port> </input> <output> <port id="3" precision="STRING" names="string_output"> <dim>-1</dim> </port> </output> </layer> <layer id="5" name="Result_951984" type="Result" version="opset1"> <input> <port id="0" precision="STRING"> <dim>-1</dim> </port> </input> </layer> </layers> <edges> <edge from-layer="0" from-port="0" to-layer="2" to-port="0" /> <edge from-layer="1" from-port="0" to-layer="3" to-port="0" /> <edge from-layer="2" from-port="1" to-layer="3" to-port="1" /> <edge from-layer="3" from-port="2" to-layer="4" to-port="0" /> <edge from-layer="3" from-port="3" to-layer="4" to-port="1" /> <edge from-layer="3" from-port="4" to-layer="4" to-port="2" /> <edge from-layer="4" from-port="3" to-layer="5" to-port="0" /> </edges> <rt_info> <add_attention_mask value="True" /> <add_prefix_space /> <add_special_tokens value="True" /> <bos_token_id value="1" /> <chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system You are OpenCoder, created by OpenCoder Team.<|im_end|> ' }}{% endif %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" /> <clean_up_tokenization_spaces value="False" /> <detokenizer_input_type value="i64" /> <eos_token_id value="2" /> <handle_special_tokens_with_re value="True" /> <number_of_inputs value="1" /> <openvino_tokenizers_version value="2024.5.0.0.dev20241030" /> <openvino_version value="2024.5.0.dev20241030" /> <original_tokenizer_class value="<class 'transformers_modules.infly.OpenCoder-1.5B-Instruct.726eaa2df918903ab279981653644bb8e8e04e85.tokenization_inflm.INFLMTokenizer'>" /> <pad_token_id value="3" /> <sentencepiece_version value="0.2.0" /> <skip_special_tokens value="True" /> <streaming_detokenizer value="False" /> <tiktoken_version value="0.8.0" /> <tokenizer_output_type value="i64" /> <tokenizers_version value="0.20.1" /> <transformers_version value="4.45.2" /> <use_max_padding value="False" /> <use_sentencepiece_backend value="False" /> <utf8_replace_mode /> <with_detokenizer value="True" /> </rt_info> </net>