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现在采用的参数如下: models = [ dict( type=HuggingFaceCausalLM, abbr='qwen1.5-72b-chat-hf', path="Qwen1.5-72B-Chat", model_kwargs=dict( device_map='auto', trust_remote_code=True ), tokenizer_kwargs=dict( padding_side='left', truncation_side='left', trust_remote_code=True, use_fast=False, ), meta_template=_meta_template, max_out_len=100, max_seq_len=2048, batch_size=8, run_cfg=dict(num_gpus=4, num_procs=1), end_str='<|im_end|>', batch_padding=True, ) ]
models = [ dict( type=HuggingFaceCausalLM, abbr='qwen1.5-72b-chat-hf', path="Qwen1.5-72B-Chat", model_kwargs=dict( device_map='auto', trust_remote_code=True ), tokenizer_kwargs=dict( padding_side='left', truncation_side='left', trust_remote_code=True, use_fast=False, ), meta_template=_meta_template, max_out_len=100, max_seq_len=2048, batch_size=8, run_cfg=dict(num_gpus=4, num_procs=1), end_str='<|im_end|>', batch_padding=True, ) ]
感觉评测很慢,20多个小时都没出结果
The text was updated successfully, but these errors were encountered:
tonysy
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Describe the feature
现在采用的参数如下:
models = [ dict( type=HuggingFaceCausalLM, abbr='qwen1.5-72b-chat-hf', path="Qwen1.5-72B-Chat", model_kwargs=dict( device_map='auto', trust_remote_code=True ), tokenizer_kwargs=dict( padding_side='left', truncation_side='left', trust_remote_code=True, use_fast=False, ), meta_template=_meta_template, max_out_len=100, max_seq_len=2048, batch_size=8, run_cfg=dict(num_gpus=4, num_procs=1), end_str='<|im_end|>', batch_padding=True, ) ]
感觉评测很慢,20多个小时都没出结果
Will you implement it?
The text was updated successfully, but these errors were encountered: