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import os
import torch
import psutil
import datasets
import glob

from transformers import (
    AutoTokenizer, LlamaConfig, LlamaForCausalLM, Trainer, TrainingArguments,
    DataCollatorForLanguageModeling
)

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# hfget.py
# Python 3.11.2

# Hugging Face Filesystem API:
# https://huggingface.co/docs/huggingface_hub/en/guides/hf_file_system

import os
import sys
import time
from typing import Union

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import easy_llama as ez
from subprocess import run
USER = ez.utils.USER_STYLE
BOT = ez.utils.BOT_STYLE
DIM = ez.utils.DIM_STYLE
RESET = ez.utils.RESET_ALL
def say(something: str) -> None:
    run(['say', something])
Llama3 = ez.Model(
    'Meta-Llama-3-8B-Instruct-q8_0.gguf',

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# safetensors_convert_fp16_to_8bit.py
# Python 3.11.7

import safetensors.torch
import safetensors
import torch
import os

# blacklist takes priority over whitelist
# a tensor will only be cast if it matches the whitelist but not the blacklist