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5.3 KiB
JSON
1 line
5.3 KiB
JSON
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{"_id":"68bfe8d0da7624b4ef2971e8","id":"Chaos0818/qwen2.5_7b_instruct_10k_3epoch_plan_sft_openthought114k","private":false,"pipeline_tag":"text-generation","library_name":"transformers","tags":["transformers","tensorboard","safetensors","qwen2","text-generation","llama-factory","full","generated_from_trainer","conversational","base_model:Qwen/Qwen2.5-7B-Instruct","base_model:finetune:Qwen/Qwen2.5-7B-Instruct","license:other","autotrain_compatible","text-generation-inference","endpoints_compatible","region:us"],"downloads":10,"likes":0,"modelId":"Chaos0818/qwen2.5_7b_instruct_10k_3epoch_plan_sft_openthought114k","author":"Chaos0818","sha":"2b4cf05726943bb51a0f35edfd026eb0e18fc375","lastModified":"2025-09-09T09:10:59.000Z","gated":false,"disabled":false,"widgetData":[{"text":"Hi, what can you help me with?"},{"text":"What is 84 * 3 / 2?"},{"text":"Tell me an interesting fact about the universe!"},{"text":"Explain quantum computing in simple terms."}],"model-index":[{"name":"qwen2.5_7b_math_sft_full_3_10k_plan_fom_train","results":[]}],"config":{"architectures":["Qwen2ForCausalLM"],"model_type":"qwen2","tokenizer_config":{"bos_token":null,"eos_token":"<|im_end|>","pad_token":"<|endoftext|>","unk_token":null},"chat_template_jinja":"{%- 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"},"cardData":{"library_name":"transformers","license":"other","base_model":"Qwen/Qwen2.5-7B-Instruct","tags":["llama-factory","full","generated_from_trainer"],"model-index":[{"name":"qwen2.5_7b_math_sft_full_3_10k_plan_
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