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Here are the steps I took for migrating from a early-2013 MacBook Pro Retina 15-inch to a late-2013 one.

Disconnected from the Internet (at least it will simplify
Updated my TimeMachine (TM) backup ("Back Up Now" on the status bar)
Disconnected my TM hard drive and connected it to the new Mac
Turned off the TM backup and Backblaze from the old machine
Connected the TM backup disk to the new Mac
Selected the TM restore process on the install process, but it never showed up, so I restarted it with the 'option' key down and selected the TM code, entered its password and continued with the installer from there
Waited about 3 hours till the data transfer (about 200GB from a stock external drive) was done
Logged in my account

Mujoco and Mujoco-py Installation Instructions

The steps are taken from this video and document with some small changes.

cd Downloads/
sudo chmod +x Anaconda3-2021.11-Linux-x86_64.sh
./Anaconda3-2021.11-Linux-x86_64.sh

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962

In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.

	import tiktoken
	import langdetect
	T = tiktoken.get_encoding("o200k_base")

	length_dict = {}

	for i in range(T.n_vocab):
	try:
	length_dict[i] = len(T.decode([i]))
	except:

	# Code from best solution in page below:
	# https://help.zoho.com/portal/community/topic/zoho-mail-servers-reject-python-smtp-module-communications

	import smtplib
	from email.mime.text import MIMEText
	from email.header import Header
	from email.utils import formataddr

	# Define to/from
	sender = 'sender@example.com'

	# Make an Ubuntu 22.04 Docker image supporting CUDA and Linux 4 Tegra stuff on
	# the nVidia Jetson Nano. I ran this from the final nano Linux 4 Tegra JetPak
	# image aka jetson-nano-jp461-sd-card-image.zip which I updated to 4.6.3
	# using apt. -- @gpshead
	#
	# Is there any real point to doing this? I have no idea. :P
	# If you don't care about toying with the GPU stuff, just go install Armbian.
	#
	# This is based off of the instructions on
	# https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-Container-Runtime-on-Jetson

	# Python code written by @HomemadeToast57 (twitter) for the Animal Well puzzle :). Thank you to the devs and the community for this wonderful experience!

	import numpy as np

	# string given at https://animalwell.net/fountain
	string = "amtmc xumuacm fcze mtnd ysi wehlnd vtgowqkw oqsaa diqgewa hhrpsi cq pf pftqd uh gijdugr"

	# key found in trailer for the game
	key = "waterfall"

	#!/bin/sh

	# cloudflareddns6.sh - dynamic dns IPV6 updater module for Synology
	#
	# Author:
	# Cedric Mercier
	#
	# Version:
	# 0.1
	#

	#!/usr/bin/php -d open_basedir=/usr/syno/bin/ddns
	<?php

	/**
	* This script is used to add Cloudflare as a service provider to DDNS settings on a Synology DiskStation.
	*
	* This file goes in `/usr/syno/bin/ddns/cloudflare.php`. Edit `/etc.defaults/ddns_provider.conf` and add
	* the Cloudflare for it to appear in the "Service provider" list:
	*
	* [Cloudflare]