llama3_tokenizer¶
- torchtune.models.llama3.llama3_tokenizer(path: str, special_tokens_path: Optional[str] = None, max_seq_len: Optional[int] = None, prompt_template: Optional[Union[str, Dict[Literal['system', 'user', 'assistant', 'ipython'], Tuple[str, str]]]] = None) Llama3Tokenizer[source]¶
Tokenizer for Llama3.
- Parameters:
path (str) – path to the tokenizer
special_tokens_path (Optional[str]) – Path to
tokenizer.jsonfrom Hugging Face model files that contains all registered special tokens, or a local json file structured similarly. Default is None to use the canonical Llama3 special tokens.max_seq_len (Optional[int]) – maximum sequence length for tokenizing a single list of messages, after which the input will be truncated. Default is None.
prompt_template (Optional[_TemplateType]) – optional specified prompt template. If a string, it is assumed to be the dotpath of a
PromptTemplateInterfaceclass. If a dictionary, it is assumed to be a custom prompt template mapping role to the prepend/append tags.
- Returns:
Instantiation of the Llama3 tokenizer
- Return type:
Llama3Tokenizer
