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The open source toolkit for finetuning and deploying LLMs

Project description

Arcee

The open source toolkit for finetuning and deploying LLMs

Finetune LLMS

from arcee.models import LM
from arcee.data import Instuctions

lm = LM("falcon30b")
instructions = Instructions("./datasets/stripe-api.json")
lm.train(instructions)

lm.predict("Place an order for the LLM-9000 product for 100 USD to the card 3007200039992000")

Deploy LLMS

Authenticate

import arcee
arcee.login()

Deploy to the Arcee cloud

project = arcee.create_project("stripe-api-operator")
#project = arcee.load_project(...)

#regulated under 7b params for free
#only PEFT uploadable for free

hosted_lm = project.deploy(llm)
hosted_lm.url
hosted_lm.predict("Place an order for the LLM-9000 product for 100 USD to the card 3007200039992000")

#view a streaming web app of the llm
project.demo()

LangChain Integration

from langchain import Arcee
#goes in llms/arcee.py

prompt_template = "Write a stripe API request for the following: {order}."

llm = Arcee(temperature=0)
llm_chain = LLMChain(
    llm=llm,
    prompt=PromptTemplate.from_template(prompt_template)
)
llm_chain("Place an order for the LLM-9000 product for 100 USD to the card 3007200039992000")

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