Serialization

本笔记本将介绍如何将LLM配置写入磁盘并从磁盘读取。如果您想保存给定LLM的配置（例如提供商、温度等），这将非常有用。

from langchain.llms import OpenAI
from langchain.llms.loading import load_llm

加载

首先，让我们了解如何从磁盘加载LLM。LLM可以以两种格式保存在磁盘上：json或yaml。无论扩展名如何，加载的方式都是相同的。

!cat llm.json

{

    "model_name": "text-davinci-003",

    "temperature": 0.7,

    "max_tokens": 256,

    "top_p": 1.0,

    "frequency_penalty": 0.0,

    "presence_penalty": 0.0,

    "n": 1,

    "best_of": 1,

    "request_timeout": null,

    "_type": "openai"

}

llm = load_llm("llm.json")

!cat llm.yaml

_type: openai

best_of: 1

frequency_penalty: 0.0

max_tokens: 256

model_name: text-davinci-003

n: 1

presence_penalty: 0.0

request_timeout: null

temperature: 0.7

top_p: 1.0

llm = load_llm("llm.yaml")

Saving

If you want to go from an LLM in memory to a serialized version of it, you can do so easily by calling the .save method. Again, this supports both json and yaml.

llm.save("llm.json")

llm.save("llm.yaml")