lewtun

# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

davidmezzetti

import time

from datetime import timedelta

from datasets import load_dataset
from txtai import LLM
from txtai.pipeline import Labels, HFTrainer

def prompt(text):
    text = f"""

mlabonne

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
mlabonne/OmniTruthyBeagle-7B-v0 📄	57.8	45.72	77.49	76.16	50.18
mlabonne/NeuralOmniBeagle-7B-v2 📄	57.75	45.86	77.31	75.34	50.09
mlabonne/OmniBeagle-7B 📄	57.72	45.64	77.48	75.03	50.03
mlabonne/NeuralOmniBeagle-7B 📄	57.71	45.85	77.26	76.06	50.03
mlabonne/NeuralOmni-7B [📄](https://gist.github.com/mlabonne/4b5ecee86d0fd3714ba0cbd

mlabonne

# Example usage:
# python merge_peft.py --base_model=meta-llama/Llama-2-7b-hf --peft_model=./qlora-out --hub_id=alpaca-qlora

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

import argparse

def get_args():