optimize_qa_mapper

Mapper to optimize question-answer pairs.

This operator refines and enhances the quality of question-answer pairs. It uses a Hugging Face model to generate more detailed and accurate questions and answers. The input is formatted using a template, and the output is parsed using a regular expression. The system prompt, input template, and output pattern can be customized. If VLLM is enabled, the operator accelerates inference on CUDA devices.

优化问答对的映射器。

该算子改进和提高问答对的质量。它使用Hugging Face模型生成更详细和准确的问题和答案。输入使用模板格式化，输出通过正则表达式解析。可以自定义系统提示、输入模板和输出模式。如果启用了VLLM，算子将在CUDA设备上加速推理。

Type 算子类型: mapper

Tags 标签: cpu, vllm, hf

🔧 Parameter Configuration 参数配置

name 参数名

type 类型

default 默认值

desc 说明

hf_model

<class ‘str’>

'Qwen/Qwen2.5-7B-Instruct'

Hugging Face model ID.

system_prompt

typing.Optional[str]

None

System prompt for guiding the optimization task.

input_template

typing.Optional[str]

None

Template for building the input for the model.

qa_pair_template

typing.Optional[str]

None

Template for formatting the question and

output_pattern

typing.Optional[str]

None

Regular expression pattern to extract question

enable_vllm

<class ‘bool’>

False

Whether to use VLLM for inference acceleration.

model_params

typing.Optional[typing.Dict]

None

Parameters for initializing the model.

sampling_params

typing.Optional[typing.Dict]

None

Sampling parameters for text generation (e.g.,

kwargs

''

Extra keyword arguments.

📊 Effect demonstration 效果演示

not available 暂无