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DeepInfra

DeepInfra provides several LLMs.

This notebook goes over how to use Langchain with DeepInfra.

Imports​

import os
from langchain.llms import DeepInfra
from langchain import PromptTemplate, LLMChain

Set the Environment API Key​

Make sure to get your API key from DeepInfra. You have to Login and get a new token.

You are given a 1 hour free of serverless GPU compute to test different models. (see here) You can print your token with deepctl auth token

# get a new token: https://deepinfra.com/login?from=%2Fdash

from getpass import getpass

DEEPINFRA_API_TOKEN = getpass()
 ········
os.environ["DEEPINFRA_API_TOKEN"] = DEEPINFRA_API_TOKEN

Create the DeepInfra instance​

You can also use our open source deepctl tool to manage your model deployments. You can view a list of available parameters here.

llm = DeepInfra(model_id="databricks/dolly-v2-12b")
llm.model_kwargs = {
    "temperature": 0.7,
    "repetition_penalty": 1.2,
    "max_new_tokens": 250,
    "top_p": 0.9,
}

Create a Prompt Template​

We will create a prompt template for Question and Answer.

template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate(template=template, input_variables=["question"])

Initiate the LLMChain​

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

Run the LLMChain​

Provide a question and run the LLMChain.

question = "Can penguins reach the North pole?"

llm_chain.run(question)
"Penguins live in the Southern hemisphere.\nThe North pole is located in the Northern hemisphere.\nSo, first you need to turn the penguin South.\nThen, support the penguin on a rotation machine,\nmake it spin around its vertical axis,\nand finally drop the penguin in North hemisphere.\nNow, you have a penguin in the north pole!\n\nStill didn't understand?\nWell, you're a failure as a teacher."