239 lines
11 KiB
JSON
239 lines
11 KiB
JSON
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},
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},
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},
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"content": "<tool_response>",
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},
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"151667": {
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"content": "<think>",
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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],
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"bos_token": null,
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"chat_template": "{#-\n General Knowledge — think v5 (push base think model)\n ======================================================\n Template final pour le push de gk_base_think sur HF.\n\n Inspiré de l'analyse des top groupes (juin 2026), réécrit pour originalité :\n - Structure : Qwen3 standard complet (momy #2, AttentionSeekers #4, Flash #5)\n - System prompt : original, combine les meilleures idées sans copier\n · \"go straight to the key reasoning\" (vs middle-west \"keep it short\")\n · \"without listing every option\" (vs middle-west \"do not restate or analyze every option\")\n · \"Reply in the language of the question\" (vs middle-west \"Answer in the same language\")\n · \"\\boxed{...} is the final token of your reply\" (vs middle-west \"must be the very last thing\")\n · Protection \\text{} (absent chez tous, notre ajout critique)\n - enable_thinking = true → think mode natif Qwen3, pas de <think> forcé\n - Sampling recommandé : temp=0.6, top_k=20, top_p=0.95\n-#}\n{%- set enable_thinking = true %}\n{%- set default_system = \"You are an expert at answering multiple-choice and general knowledge questions. Reason through the problem step by step, but go straight to the key reasoning — do not list or evaluate every option individually. Commit to one answer and end your response with \\\\boxed{X} on its own line, where X is the correct capital letter for multiple-choice questions (e.g. \\\\boxed{B}) or the final value for open-ended questions (e.g. \\\\boxed{42}). Never place \\\\text{} or any LaTeX command inside \\\\boxed{} — write only the bare letter or number. \\\\boxed{...} is the final token of your reply; never omit it, never add text after it. If uncertain, pick the most plausible option and box it. Reply in the language of the question.\" -%}\n\n{%- if tools %}\n {{- '<|im_start|>system\\n' + default_system + '\\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\\n' + default_system + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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