gladiopeace

from vueGPT import prompt, make_client

from dotenv import load_dotenv

# load .env file
load_dotenv()

# get openai api key
OPENAI_API_KEY = environ.get('OPENAI_API_KEY')

gladiopeace

# once you have an app created and downloaded:
curl -sSL https://get.wasp-lang.dev/installer.sh | sh
cd {app_folder}
# to install NVM:
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash
nvm install 18
nvm use 18
wasp db migrate-dev
wasp start

gladiopeace

Details on how the airoboros-gpt4-2.0 dataset was created.

Script

https://github.com/jondurbin/airoboros

pip install --upgrade airoboros==2.0.11

gladiopeace

#!/usr/bin/env python3

import os
import sqlite3
import sys

try:
    os.mkdir('config_restore')
except:
    pass

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# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin
wget "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/${MODEL}"

gladiopeace

// Name: Midjourney Prompt
// Description: Generate a Random Midjourney Prompt
// Author: John Lindquist
// Twitter: @johnlindquist

import "@johnlindquist/kit"

let count = parseInt(
  await arg({
    placeholder: "How many prompts to generate and paste?",

gladiopeace

// Name: Midjourney Imagine
// Description: Generate a random Midjourney Prompt
// Author: John Lindquist
// Twitter: @johnlindquist

import "@johnlindquist/kit"

let count = parseInt(
  await arg({
    placeholder: "How many prompts to generate and paste?",

gladiopeace

import torch
print(torch.version.cuda)
print(torch.cuda.is_available())

gladiopeace

// Get a reference to the active document.
var doc = app.activeDocument;

// Set the height of the selection to the height of the document.
var height = doc.height;

// Set the x and y offset in pixels.
var xOffset = 5;
var yOffset = 5;

gladiopeace

// dump classes and selectors forbidden in NSPredicates
// `cc -framework Foundation -o restricted restricted.m`
#import <Foundation/Foundation.h>
#import <dlfcn.h>

int main() {
    void *cf = dlopen("/System/Library/Frameworks/CoreFoundation.framework/CoreFoundation", 0);
    NSDictionary* (*RestrictedClasses)() = dlsym(cf, "_CFPredicatePolicyRestrictedClasses");
    NSDictionary* (*RestrictedSelectors)() = dlsym(cf, "_CFPredicatePolicyRestrictedSelectors");
    NSLog(@"Restricted Selectors: %@", RestrictedSelectors());