ivanfioravanti

#!/usr/bin/env bash

# Default values for percentages
DEFAULT_WIRED_LIMIT_PERCENT=85
DEFAULT_WIRED_LWM_PERCENT=75

# Read input parameters or use default values
WIRED_LIMIT_PERCENT=${1:-$DEFAULT_WIRED_LIMIT_PERCENT}
WIRED_LWM_PERCENT=${2:-$DEFAULT_WIRED_LWM_PERCENT}

charlesfrye

# Train GPT-2 in five minutes -- for free
#
# ```bash
# pip install modal
# modal setup
# modal run wrapper.py
# ```
#
# Note that the end-to-end latency the first time is more like 25 minutes:
# - five minutes to install Torch (rip)

charlesfrye

See rune2e.sh for info on how to run the experiment.

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():

ssugimoto

FROM mcr.microsoft.com/vscode/devcontainers/python:3.8

ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get -y install --no-install-recommends java-common zip \
    && wget https://corretto.aws/downloads/latest/amazon-corretto-8-x64-linux-jdk.deb \
    && dpkg --install amazon-corretto-8-x64-linux-jdk.deb \
    && wget https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip \
    && unzip awscli-exe-linux-x86_64.zip \
    && ./aws/install \
    # Clean up

brockmanmatt

brockmanmatt

chad-m

import base64
import os
import json
import pickle
import uuid
import re

import streamlit as st
import pandas as pd

korakot

import json
from subprocess import check_output
from time import sleep
!pip -q install youtube-dl

from google.colab import auth
auth.authenticate_user()
!gcloud config set project kora-id
gcs = 'gs://co-lab/dhamma'  # use your own project, gcs

ines

pip install streamlit
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_md
python -m spacy download de_core_news_sm