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{
  "vocab_file": "C:\\Users\\jumpy\\.cache\\huggingface\\hub\\models--optimum-intel-internal-testing--tiny-random-MiniCPM-o-2_6\\snapshots\\696346042324a37f82583dd7c38a5342d27a4c23\\vocab.json",
  "merges_file": "C:\\Users\\jumpy\\.cache\\huggingface\\hub\\models--optimum-intel-internal-testing--tiny-random-MiniCPM-o-2_6\\snapshots\\696346042324a37f82583dd7c38a5342d27a4c23\\merges.txt",
  "add_bos_token": false,
  "add_prefix_space": false,
  "additional_special_tokens": [
    "<image>",
    "</image>",
    "<ref>",
    "</ref>",
    "<box>",
    "</box>",
    "<quad>",
    "</quad>",
    "<point>",
    "</point>",
    "<slice>",
    "</slice>",
    "<image_id>",
    "</image_id>",
    "<unit>",
    "</unit>",
    "<asr>",
    "</asr>",
    "<query>",
    "</query>",
    "<|audio_start|>",
    "<|audio|>",
    "<|audio_end|>",
    "<|spk_bos|>",
    "<|spk|>",
    "<|spk_eos|>",
    "<|tts_bos|>",
    "<|tts_eos|>",
    "<|listen|>",
    "<|speak|>",
    "<|interrupt|>",
    "<|vad_start|>",
    "<|vad_end|>",
    "<reserved_43>",
    "<reserved_53>"
  ],
  "auto_map": {
    "AutoTokenizer": [
      "openbmb/MiniCPM-o-2_6--tokenization_minicpmo_fast.MiniCPMOTokenizerFast",
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  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
  "clean_up_tokenization_spaces": false,
  "errors": "replace",
  "model_max_length": 1024,
  "processor_class": "MiniCPMOProcessor",
  "split_special_tokens": false,
  "name_or_path": "optimum-intel-internal-testing/tiny-random-MiniCPM-o-2_6",
  "vocab_size": 3072
}