MosaicML

MosaicML 提供了一项托管推理服务。您可以使用各种开源模型，或部署自己的模型。

以下示例介绍了如何使用 LangChain 与 MosaicML 推理进行文本补全交互。

# 注册账户：https://forms.mosaicml.com/demo?utm_source=langchain
from getpass import getpass
MOSAICML_API_TOKEN = getpass()

import os
os.environ["MOSAICML_API_TOKEN"] = MOSAICML_API_TOKEN

from langchain.chains import LLMChain
from langchain_community.llms import MosaicML
from langchain_core.prompts import PromptTemplate

template = """Question: {question}"""
prompt = PromptTemplate.from_template(template)

llm = MosaicML(inject_instruction_format=True, model_kwargs={"max_new_tokens": 128})

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What is one good reason why you should train a large language model on domain specific data?"
llm_chain.run(question)