lmflow.utils.conversation_template.llama
========================================

.. py:module:: lmflow.utils.conversation_template.llama


Attributes
----------

.. autoapisummary::

   lmflow.utils.conversation_template.llama.logger
   lmflow.utils.conversation_template.llama.LLAMA3_TEMPLATE
   lmflow.utils.conversation_template.llama.LLAMA3_TEMPLATE_FOR_TOOL
   lmflow.utils.conversation_template.llama.LLAMA2_TEMPLATE
   lmflow.utils.conversation_template.llama.LLAMA2_TEMPLATE_FOR_TOOL


Classes
-------

.. autoapisummary::

   lmflow.utils.conversation_template.llama.Llama2ConversationTemplate
   lmflow.utils.conversation_template.llama.Llama2ConversationTemplateForTool


Module Contents
---------------

.. py:data:: logger

.. py:class:: Llama2ConversationTemplate

   Bases: :py:obj:`lmflow.utils.conversation_template.base.ConversationTemplate`


   .. py:method:: _encode(tokenizer: transformers.PreTrainedTokenizer, messages: List[Dict[str, str]], system: Optional[str] = None, tools: Optional[str] = None, **kwargs) -> Sequence[Tuple[List[int], List[int]]]


.. py:class:: Llama2ConversationTemplateForTool

   Bases: :py:obj:`Llama2ConversationTemplate`


   .. py:method:: _encode(tokenizer: transformers.PreTrainedTokenizer, messages: List[Dict[str, str]], system: Optional[str] = None, tools: Optional[str] = None, **kwargs) -> Sequence[Tuple[List[int], List[int]]]


.. py:data:: LLAMA3_TEMPLATE

.. py:data:: LLAMA3_TEMPLATE_FOR_TOOL

.. py:data:: LLAMA2_TEMPLATE

.. py:data:: LLAMA2_TEMPLATE_FOR_TOOL