For all other OPT checkpoints, please have a look at the model hub. How to use You can use this model directly with a pipeline for text generation. >>> from transformers import pipeline >>> generator = pipeline('text-generation', model="facebook/opt-125m") >>> generator("What are ...
FlagAI采用Megatron-LM的算子切分方式,通过设置参数model_parallel_size就能将模型自动切分成到多个显卡上。这里为了展示效果,我们设置model_parallel_size=4,详情参考下方文件链接: FlagAI/opt_30b_en_mutigpu.py at master · BAAI-Open/FlagAI (...
LLM的help classLLM(builtins.object)|LLM(model:str,tokenizer:Optional[str]=None,tokenizer_mode:str='auto',skip_tokenizer_init:bool=False,trust_remote_code:bool=False,tensor_parallel_size:int=1,dtype:str='auto',quantization:Optional[str]=None,revision:Optional[str]=None,tokenizer_revision:Optional...
FlagAI采用Megatron-LM的算子切分方式,通过设置参数model_parallel_size就能将模型自动切分成到多个显卡上。这里为了展示效果,我们设置model_parallel_size=4,详情参考下方文件链接: FlagAI/opt_30b_en_mutigpu.py at master · BAAI-Open/FlagAI (github.com) 多GPU测试结果&资源占用 主要的耗时在模型的切分(18分...
llm = LLM(model="facebook/opt-125m") # Generate texts from the prompts. outputs = llm.generate(prompts) To use torch.compile, we need to add self.model = torch.compile(self.model) in this line: https://github.com/vllm-project/vllm/blob/main/vllm/worker/model_runner.py#L253 . ...
crash log like RuntimeError: weight decoder.embed_tokens.weight does not exist rank=0 opt-125m has prefix "model" while opt-6.7b does not have prefix
llm=LLM(model="facebook/opt-125m") # Generate texts from the prompts. The output is a list of RequestOutput objects # that contain the prompt, generated text, and other information. outputs=llm.generate(prompts,sampling_params) # Print the outputs. ...
Used the Tundra model for my 2G tree, Super easy install, dramatically helps when getting to the bottom of the suspension cycle. Durobumps is the way to go, thanks OOR! Gabe Hurt Good customer service Their customers service is excellent. I was missing some parts and they right away had ...
OPT is a machine vision components and softwares supplier for factory automation. It has quickly developed to become a leader in the machine vision industry.
The official opt-125m model has max_position_embeddings=2048, so when I train vary-tiny with follow command: deepspeed --master_port $MASTER_PORT vary/train/train_opt.py \ --deepspeed ./zero_config/zero3.json \ --model_name_or_path faceb...