初始化项目，由ModelHub XC社区提供模型
Model: ZhuofengLi/Qwen3-4B-hardtests-frontier-filtered-full Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
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36
.gitattributes
vendored
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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89
chat_template.jinja
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89
chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- 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>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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71
config.json
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71
config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.12.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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13
generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.12.1"
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}
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11
logging.jsonl
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11
logging.jsonl
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{"loss": 1.11289322, "grad_norm": 12.19196497, "learning_rate": 5e-06, "epoch": 0.11594203, "global_step/max_steps": "1/27", "elapsed_time": "47s", "remaining_time": "20m 28s", "memory(GiB)": 18.14, "train_speed(s/it)": 47.220165}
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{"loss": 0.9293499, "grad_norm": 1.77222941, "learning_rate": 9.65e-06, "epoch": 0.57971014, "global_step/max_steps": "5/27", "elapsed_time": "3m 39s", "remaining_time": "16m 4s", "memory(GiB)": 22.18, "train_speed(s/it)": 43.834819}
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{"eval_loss": 0.66912872, "eval_runtime": 3.5432, "eval_samples_per_second": 1.693, "eval_steps_per_second": 0.282, "eval_token_acc": 0.80555405, "epoch": 1.0, "global_step/max_steps": "9/27", "elapsed_time": "6m 18s", "remaining_time": "12m 36s", "memory(GiB)": 53.57, "train_speed(s/it)": 41.9777}
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||||
{"loss": 0.72368984, "grad_norm": 0.87008269, "learning_rate": 7.68e-06, "epoch": 1.11594203, "global_step/max_steps": "10/27", "elapsed_time": "7m 20s", "remaining_time": "12m 28s", "memory(GiB)": 53.57, "train_speed(s/it)": 44.023439}
|
||||
{"loss": 0.63697853, "grad_norm": 0.48984571, "learning_rate": 4.69e-06, "epoch": 1.69565217, "global_step/max_steps": "15/27", "elapsed_time": "10m 54s", "remaining_time": "8m 43s", "memory(GiB)": 53.57, "train_speed(s/it)": 43.585551}
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||||
{"eval_loss": 0.60824573, "eval_runtime": 3.4969, "eval_samples_per_second": 1.716, "eval_steps_per_second": 0.286, "eval_token_acc": 0.81819661, "epoch": 2.0, "global_step/max_steps": "18/27", "elapsed_time": "12m 50s", "remaining_time": "6m 25s", "memory(GiB)": 53.57, "train_speed(s/it)": 42.756697}
|
||||
{"loss": 0.61085949, "grad_norm": 0.31489104, "learning_rate": 1.81e-06, "epoch": 2.23188406, "global_step/max_steps": "20/27", "elapsed_time": "15m 7s", "remaining_time": "5m 18s", "memory(GiB)": 53.57, "train_speed(s/it)": 45.363137}
|
||||
{"loss": 0.59106207, "grad_norm": 0.28574588, "learning_rate": 1.6e-07, "epoch": 2.8115942, "global_step/max_steps": "25/27", "elapsed_time": "18m 41s", "remaining_time": "1m 30s", "memory(GiB)": 53.57, "train_speed(s/it)": 44.837141}
|
||||
{"eval_loss": 0.59811389, "eval_runtime": 3.4377, "eval_samples_per_second": 1.745, "eval_steps_per_second": 0.291, "eval_token_acc": 0.8204016, "epoch": 3.0, "global_step/max_steps": "27/27", "elapsed_time": "19m 54s", "remaining_time": "0s", "memory(GiB)": 53.57, "train_speed(s/it)": 44.223312}
|
||||
{"eval_loss": 0.59811389, "eval_runtime": 4.1001, "eval_samples_per_second": 1.463, "eval_steps_per_second": 0.244, "eval_token_acc": 0.8204016, "epoch": 3.0, "global_step/max_steps": "27/27", "elapsed_time": "21m 48s", "remaining_time": "0s", "memory(GiB)": 53.57, "train_speed(s/it)": 48.433686}
|
||||
{"train_runtime": 1326.3373, "train_samples_per_second": 1.258, "train_steps_per_second": 0.02, "total_flos": 61857115668480.0, "train_loss": 0.6955941, "epoch": 3.0, "global_step/max_steps": "27/27", "elapsed_time": "22m 4s", "remaining_time": "0s", "memory(GiB)": 53.57, "train_speed(s/it)": 49.040129}
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model-00001-of-00002.safetensors
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File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user