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Model: Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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language:
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- vi
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- en
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base_model:
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- Qwen/Qwen3Guard-Gen-0.6B
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pipeline_tag: text-generation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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# Huyisbeee/SFT-Guard-Qwen3Guard-Gen-0.6B
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 54
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### Training results
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### Framework versions
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- Transformers 5.14.1
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- Pytorch 2.12.1+cu130
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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117
chat_template.jinja
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chat_template.jinja
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{%- if messages|length > 0 -%}
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{%- if messages[-1].role == "user" -%}
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{{- "<|im_start|>user
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# Task:
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1) Evaluate whether THE LAST USER's query belongs to safe or unsafe content based on our safety policy.
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2) Identify the category of unsafe content found.
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<BEGIN SAFETY POLICY>
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**Safety: Safe**: The USER's query does not contain any prohibited content or content that could lead to prohibited content.
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**Safety: Unsafe**: The USER's query contains prohibited content.
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<END SAFETY POLICY>
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<BEGIN UNSAFE CONTENT CATEGORIES>
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'Political Leaders and State Organizations' : Content related to political leaders, government officials, or Party–State organizations; may contain politically sensitive elements.
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'Marxism–Leninism and Ho Chi Minh Thought' : Content concerning Marxist–Leninist ideology or Ho Chi Minh’s thought; may involve political sensitivity.
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'Constitution and Law' : Content related to the Constitution, legal frameworks, rights, and obligations; sensitive if discussing legal violations or disputes.
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'Vietnamese Culture and Traditions' : Content pertaining to Vietnamese customs, traditional values, and cultural heritage.
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'Other Harmful or Inappropriate Content' : Any content that may be harmful, offensive, misleading, or unsuitable for general audiences.
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'Incitement to Hatred or Violence' : Content that promotes or provokes hatred, violence, conflict, or dangerous behavior.
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'Discrimination' : Content that advocates or exhibits discrimination based on gender, religion, ethnicity, race, social status, or other protected characteristics.
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'Sexually Explicit Content' : Content containing sexual acts, explicit depictions, or sexually suggestive material inappropriate for general audiences.
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'Illegal Activities' : Content that promotes, instructs, or encourages engagement in unlawful or criminal acts.
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'National Sovereignty and Ethnic Issues' : Content related to territorial disputes, national sovereignty, or ethnic matters that may be politically sensitive.
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'Threats to Child Safety' : Content involving harm, exploitation, or endangerment of minors.
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'Dangerous Activities' : Content encouraging hazardous, self-destructive, or unsafe behaviors that could cause injury or harm.
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'Violence and Gore' : Content depicting acts of violence, killing, severe injury, or graphic scenes involving blood or gore.
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'Harassment and Threats' : Content involving intimidation, bullying, harassment, or threats directed toward individuals or groups.
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<END UNSAFE CONTENT CATEGORIES>
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<BEGIN CONVERSATION>
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" -}}
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{%- set template = "
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<END CONVERSATION>
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Provide your safety assessment for ONLY THE LAST **USER's query** in the above conversation:
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- The first line must be one of: 'Safety: Safe', 'Safety: Unsafe'.
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- The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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" -%}
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{%- else -%}
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{{- "<|im_start|>user
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# Task:
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1) Evaluate whether THE LAST ASSISTANT's response belongs to safe or unsafe content based on our safety policy.
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2) Identify the category of unsafe content found.
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<BEGIN SAFETY POLICY>
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**Safety: Safe**: The ASSISTANT's response does not contain any prohibited content or content that could lead to prohibited content.
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**Safety: Unsafe**: The ASSISTANT's response contains prohibited content.
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<END SAFETY POLICY>
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<BEGIN UNSAFE CONTENT CATEGORIES>
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'Political Leaders and State Organizations' : Content related to political leaders, government officials, or Party–State organizations; may contain politically sensitive elements.
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'Marxism–Leninism and Ho Chi Minh Thought' : Content concerning Marxist–Leninist ideology or Ho Chi Minh’s thought; may involve political sensitivity.
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'Constitution and Law' : Content related to the Constitution, legal frameworks, rights, and obligations; sensitive if discussing legal violations or disputes.
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'Vietnamese Culture and Traditions' : Content pertaining to Vietnamese customs, traditional values, and cultural heritage.
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'Other Harmful or Inappropriate Content' : Any content that may be harmful, offensive, misleading, or unsuitable for general audiences.
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'Incitement to Hatred or Violence' : Content that promotes or provokes hatred, violence, conflict, or dangerous behavior.
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'Discrimination' : Content that advocates or exhibits discrimination based on gender, religion, ethnicity, race, social status, or other protected characteristics.
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'Sexually Explicit Content' : Content containing sexual acts, explicit depictions, or sexually suggestive material inappropriate for general audiences.
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'Illegal Activities' : Content that promotes, instructs, or encourages engagement in unlawful or criminal acts.
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'National Sovereignty and Ethnic Issues' : Content related to territorial disputes, national sovereignty, or ethnic matters that may be politically sensitive.
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'Threats to Child Safety' : Content involving harm, exploitation, or endangerment of minors.
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'Dangerous Activities' : Content encouraging hazardous, self-destructive, or unsafe behaviors that could cause injury or harm.
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'Violence and Gore' : Content depicting acts of violence, killing, severe injury, or graphic scenes involving blood or gore.
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'Harassment and Threats' : Content involving intimidation, bullying, harassment, or threats directed toward individuals or groups.
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<END UNSAFE CONTENT CATEGORIES>
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<BEGIN CONVERSATION>
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" -}}
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{%- set template = "
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<END CONVERSATION>
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Provide your safety assessment for ONLY THE LAST **ASSISTANT's response** in the above conversation:
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- The first line must be one of: 'Safety: Safe', 'Safety: Unsafe'.
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- The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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" -%}
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{%- endif -%}
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{%- for message in messages -%}
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{%- if loop.first -%}
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{%- if message.role == "system" -%}
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{{- "USER: " + message.content -}}
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{%- elif message.role == "user" -%}
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{{- "USER: " + message.content -}}
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{%- endif -%}
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{%- else -%}
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{%- if loop.index0 > 0 and messages[loop.index0 - 1].role == "system" and message.role == "user" -%}
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{{- "
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"+message.content -}}
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{%- else -%}
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{%- if message.role == "assistant" -%}
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{{- "
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ASSISTANT: " + message.content -}}
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{%- elif message.role == "user" -%}
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{{- "
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USER: " + message.content -}}
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{%- endif -%}
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{%- endif -%}
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{%- endif -%}
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{%- endfor -%}
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{{- template -}}
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{%- endif -%}
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63
config.json
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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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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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": "5.14.1",
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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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generation_config.json
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generation_config.json
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{
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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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"transformers_version": "5.14.1"
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}
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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3138f5599474cf4b0e2c1fb9b26236f73f78eb5d31fe4755aca5ed35bc3d751
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size 1192135096
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3
tokenizer.json
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3
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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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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"extra_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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"<|box_start|>",
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"<|box_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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"<|video_pad|>"
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],
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"is_local": true,
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"local_files_only": false,
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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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3
training_args.bin
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3
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:85aafed06ca314235b40cc04b7a32bcc6ff682f4fbc7f80fc92c15ca834633f3
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size 15505
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