tokenizer = BertTokenizer.from_pretrained('llama-base') 请确保你已经正确安装了PyTorch和Hugging Face的Transformers库。你可以使用以下命令来安装: pip install torch transformers 如果问题仍然存在,请检查你的Python环境和依赖包是否与LLaMA模型兼容。有时候,不同版本的Python或依赖包之间可能存在不兼容的情况。你可以...
in LlamaTokenizer.__init__(self, vocab_file, unk_token, bos_token, eos_token, pad_token, sp_model_kwargs, add_bos_token, add_eos_token, clean_up_tokenization_spaces, use_default_system_prompt, spaces_between_special_tokens, legacy, add_prefix_space, **kwargs) ...
tokenizer = LlamaTokenizer.from_pretrained(lora_model_path) lora_model_path这一项不是string类型 运行命令有参数项目为: –lora_model ziqingyang/chinese-llama-plus-lora-7b 后面的ziqingyang/chinese-llama-plus-lora-7b是huggingface名字 我修改为了 –lora_model ziqingyang/chinese-llama-plus-lora-7b 也就...
SinceLlamaTokenizeris not compatible with Llama3 tokenizers, runningcheckpoint_converter_fsdp_hf.pywith llama3 finetuned weights result inTypeError: not a stringerror (cf.huggingface/transformers#30607). This PR is suggesting to useAutoTokenizerinstead to make the script compatible with both Llama2/...
(Dummy surface stringfor<unk>. In decoding <unk> is decoded to`unk_surface`.)type: std::string default:" ⁇ "--train_extremely_large_corpus(Increase bit depthforunigram tokenization.)type: bool default:false--random_seed(Seed valueforrandom generator.)type: uint32 default:4294967295--...
python inference_driver.py --ckpt_dir $CKPT_DIR --tokenizer_path $TOKENIZER_PATH 现在就可以使用...
# _commit_hash: passed when we are chaining several calls to various files (e.g. when loading a tokenizer or # a pipeline). If files are cached for this commit hash, avoid calls to head and get from the cache. if is_offline_mode() and not local_files_only: logger.info("Offline ...
Tokenizer BPE 架构 Pre-normalization SwiGLU ROPE 高效实现 forward推理 generation 实验结果 大模型的出现,标志了普通玩家入场的门槛,虽然很难参与其中,但是还是可以学习下的。 LLaMA提供了一个很好的方向,就是大模型太大了,普通玩家可能就一张卡,那么可以让普通玩家用1张卡就跑起来吗?LLaMA告诉你,可以的。 LLM有...
程序然后读取"tokenizer.bin"文件，这是一个字典文件，它包含了所有可以由模型生成的单词。每个词都是一...
Returns: Llama: An instance of the Llama class with the loaded model and tokenizer. """ # 这里首先是一些模型并行设置 if not torch.distributed.is_initialized(): torch.distributed.init_process_group("nccl") if not model_parallel_is_initialized(): if model_parallel_size is None: model_...