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Model(ms_model_id='Alibaba-AAIG/YuFeng-XGuard-Reason-8B', hf_model_id='Alibaba-AAIG/YuFeng-XGuard-Reason-8B', model_path=None, ms_revision=None, hf_revision=None)], template='yufeng_xguard', ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-4B-Thinking-2507', hf_model_id='Qwen/Qwen3-4B-Thinking-2507', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-4B-Thinking-2507-FP8', hf_model_id='Qwen/Qwen3-4B-Thinking-2507-FP8', model_path=None, ms_revision=None, hf_revision=None)], template='qwen3_thinking', ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-4B-Instruct-2507', hf_model_id='Qwen/Qwen3-4B-Instruct-2507', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-4B-Instruct-2507-FP8', hf_model_id='Qwen/Qwen3-4B-Instruct-2507-FP8', model_path=None, ms_revision=None, hf_revision=None)], template='qwen3_nothinking', ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3', model_arch=ModelKeys(arch_name='llama', embedding='model.embed_tokens', module_list='model.layers', lm_head='lm_head', q_proj='model.layers.{}.self_attn.q_proj', k_proj='model.layers.{}.self_attn.k_proj', v_proj='model.layers.{}.self_attn.v_proj', o_proj='model.layers.{}.self_attn.o_proj', attention='model.layers.{}.self_attn', mlp='model.layers.{}.mlp', down_proj='model.layers.{}.mlp.down_proj', qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None), mcore_model_type=None, architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.51'], tags=[])", |
| "model_dir": "/root/.cache/modelscope/hub/models/Qwen/Qwen3-14B", |
| "template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3', prefix=[], prompt=['<|im_start|>user\\n{{QUERY}}<|im_end|>\\n<|im_start|>assistant\\n'], chat_sep=['<|im_end|>\\n'], suffix=['<|im_end|>\\n'], template_cls=<class 'swift.template.base.Template'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system=None, auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=True, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')", |
| "_val_dataset_exists": true, |
| "hub": "<class 'swift.hub.hub.MSHub'>", |
| "seq_length": 1600, |
| "is_multimodal": false, |
| "megatron_model_meta": "ModelMeta(model_type='gpt', model_types=['qwen2', 'llama', 'qwen3', 'qwen2_moe', 'qwen3_moe', 'internlm3', 'mimo', 'deepseek', 'deepseek_v2', 'deepseek_v3', 'deepseek_v32', 'kimi_k2', 'dots1', 'ernie4_5', 'ernie4_5_moe', 'glm4_moe', 'glm4_moe_lite', 'glm_moe_dsa', 'gpt_oss'], bridge_cls=<class 'mcore_bridge.bridge.gpt_bridge.GPTBridge'>, visual_cls=None, is_multimodal=False, loader=<class 'mcore_bridge.model.register.ModelLoader'>)", |
| "fp8": null, |
| "fp4": null, |
| "world_size": 8, |
| "data_parallel_size": 8, |
| "num_microbatches": 2 |
| } |
