@misc{bari2024allamlargelanguagemodels, title={ALLaM: Large Language Models for Arabic and English}, author={M Saiful Bari and Yazeed Alnumay and Norah A. Alzahrani and Nouf M. Alotaibi and Hisham A. Alyahya and Sultan AlRashed and Faisal A. Mirza and Shaykhah Z. Alsubaie and Hassan A. Alahmed and Ghadah Alabduljabbar and Raghad Alkhathran and Yousef Almushayqih and Raneem Alnajim and Salman Alsubaihi and Maryam Al Mansour and Majed Alrubaian and Ali Alammari and Zaki Alawami and Abdulmohsen Al-Thubaity and Ahmed Abdelali and Jeril Kuriakose和Abdalghani Abujabal和Nora al-Twairesh和Areeb Alowisheq和Haidar Khan},年= {2024},Eprint = {2407.15390} url = {https://arxiv.org/abs/2407.15390},}
从变形金刚导入automodelforcausallm,autotokenizer allam_model = automodelforcausallm.from_pretrataining(“ allam-1-13b-instruct”)#用模型文件夹路径替换'Allam-1-13B-Instruct')tokenizer = autotokenizer.from_pretrataining(“ allam-1-13b-instruct”)#用模型文件夹路径替换'Allam-1-13b-Instruct'。messages = [{“角色”:“用户”,“ content”:“ toputs = tokenizer.apply_chat_template(消息,tokenize = false)inputs = tokenizer = tokenizer(inputs,return_tensors,return_tensors,return_tensors ='pt'pt'pt',rether_token_tef feldresssssss = kentossss = kento) )对于k,v in Inputs.items()} allam_model = allam_model.to('cuda')响应= allam_model.generate(** inputs,max_new_tokens = 4096,do_sample = true,true,true,true,true,top_k = 50,top_p = 50,top_p = 0.95,top_p = 0.95,温度=。 skip_special_tokens = true)[0])