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Certainly! Below are the instructions for converting a GPT-2 model to CoreML and the code for a macOS command-line tool to use that model.

Step 1: Convert GPT-2 Model to CoreML

First, use a Python script to convert the GPT-2 model to CoreML.

Python Script to Convert GPT-2 Model to CoreML

1. Install the required packages:

szmeku

Sure, for running an LLM locally on an iOS device, we can use a smaller, more efficient model like GPT-2 or a distilled version. For simplicity, I will demonstrate using the CoreML framework with a pre-trained GPT-2 model that has been converted to CoreML format. This example will include the necessary steps to integrate the model and measure the response time.

Complete Example for iOS App with Swift, Metal, and a Local GPT-2 Model

1. Convert a Pre-trained GPT-2 Model to CoreML

First, you need to convert a pre-trained GPT-2 model to CoreML format. This is typically done outside Xcode using a Python script. Here is a basic script to convert a GPT-2 model to CoreML:

# Install the required packages

szmeku

import pandas as pd
import numpy as np
import time

def using_for(df):
    start_time = time.time()

    for original_col in df.columns:
        for divisor_col in df.columns:
            new_col_name = f"{original_col}_div_{divisor_col}"

szmeku

PassengerId,HomePlanet,CryoSleep,Cabin,Destination,Age,VIP,RoomService,FoodCourt,ShoppingMall,Spa,VRDeck,Name,Transported
0001_01,Europa,False,B/0/P,TRAPPIST-1e,39.0,False,0.0,0.0,0.0,0.0,0.0,Maham Ofracculy,False
0002_01,Earth,False,F/0/S,TRAPPIST-1e,24.0,False,109.0,9.0,25.0,549.0,44.0,Juanna Vines,True
0003_01,Europa,False,A/0/S,TRAPPIST-1e,58.0,True,43.0,3576.0,0.0,6715.0,49.0,Altark Susent,False
0003_02,Europa,False,A/0/S,TRAPPIST-1e,33.0,False,0.0,1283.0,371.0,3329.0,193.0,Solam Susent,False
0004_01,Earth,False,F/1/S,TRAPPIST-1e,16.0,False,303.0,70.0,151.0,565.0,2.0,Willy Santantines,True
0005_01,Earth,False,F/0/P,PSO J318.5-22,44.0,False,0.0,483.0,0.0,291.0,0.0,Sandie Hinetthews,True
0006_01,Earth,False,F/2/S,TRAPPIST-1e,26.0,False,42.0,1539.0,3.0,0.0,0.0,Billex Jacostaffey,True
0006_02,Earth,True,G/0/S,TRAPPIST-1e,28.0,False,0.0,0.0,0.0,0.0,,Candra Jacostaffey,True
0007_01,Earth,False,F/3/S,TRAPPIST-1e,35.0,False,0.0,785.0,17.0,216.0,0.0,Andona Beston,True

szmeku

Welcome to Honest Annie's AI & Machine Learning Consulting

Pioneering Your Journey in AI and Machine Learning

Welcome to Honest Annie, where we excel in propelling businesses into the future with our advanced AI and machine learning solutions. Our team of seasoned experts is committed to crafting bespoke strategies that address your unique challenges and goals.

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At Honest Annie, we understand that the world of artificial intelligence is vast and ever-evolving. That's why we offer a wide range of services including data analysis, algorithm development, and bespoke machine learning model creation. Our solutions are designed to be scalable, efficient, and ethically responsible.

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import OpenAI from 'openai';
import secrets from '../secrets.json' assert {type: 'json'};
import {map, path, pipe} from "ramda";

const openai = new OpenAI({
    apiKey: secrets.openai,
});

const functions = [
    {

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Honest Annie Privacy Policy

Last updated: June 3, 2023

1. Introduction

At Honest Annie ("us", "we", "our"), we respect your privacy and are committed to protecting it. This Privacy Policy explains our practices regarding the collection, use, and disclosure of your personal data when you use our Services and your rights in relation to that data.

2. Data We Collect

szmeku

(function () {
    function urlsToAbsolute(nodeList) {
        if (!nodeList.length) {
            return [];
        }
        var attrName = 'href';
        if (nodeList[0].__proto__ === HTMLImageElement.prototype || nodeList[0].__proto__ === HTMLScriptElement.prototype) {
            attrName = 'src';
        }
        nodeList = [].map.call(nodeList, function (el, i) {

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const har = require('./poolstamp.json');
const fs = require('fs');

const entries = har.log.entries
    .filter(el => el._initiator.type !== 'preflight')
    .filter(el => el.request.url.match(/(rack-design|add-racks)/gi))


const entriesJSON = JSON.stringify(entries, null, 2);

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SSH_ENV="$HOME/.ssh/environment"

function run_ssh_env {
  . "${SSH_ENV}" > /dev/null
}

function start_ssh_agent {
  echo "Initializing new SSH agent..."
  ssh-agent | sed 's/^echo/#echo/' > "${SSH_ENV}"
  echo "succeeded"