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Free VMware license keys, they should work. It works for all cores on your host system(ESXi).

Key	Tested
4F282-0MLD2-M8869-T89G0-CF240	✅
0F41K-0MJ4H-M88U1-0C3N0-0A214	✅

Key	Tested

End Course Capstone Project (Module Data Structure)

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End.Course.Capstone.Project.Submission.Video.mp4

For my purpose, I use bun, though npm, yarn and pnpm (for node) are also supported

  bun create astro@latest

You'll be pleasently surprised by a helpful control center

Download & Install Sublime Text 3.2.2 Build 3211
Visit https://hexed.it/
Open file select sublime_text.exe
Offset 0x8545: Original 84 -> 85
Offset 0x08FF19: Original 75 -> EB
Offset 0x1932C7: Original 75 -> 74 (remove UNREGISTERED in title bar, so no need to use a license)

	//
	// BottomSheetView.swift
	//
	// Created by Majid Jabrayilov
	// Copyright © 2019 Majid Jabrayilov. All rights reserved.
	//
	import SwiftUI

	fileprivate enum Constants {
	static let radius: CGFloat = 16

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>RecordRTC over Socket.io</title>

	<meta http-equiv="content-type" content="text/html; charset=utf-8" />

	<script src="https://www.WebRTC-Experiment.com/RecordRTC.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/2.3.0/socket.io.js"></script>

	import { useSyncExternalStore } from "react";
	// For more on the useSyncExternalStore hook, see https://react.dev/reference/react/useSyncExternalStore

	// The code is almost identical to the source code of zustand, without types and some features stripped out.
	// Check the links to see the references in the source code.
	// The links are referencing the v5 of the library. If you plan on reading the source code yourself v5 is the best way to start.
	// The current v4 version contains lot of deprecated code and extra stuff that makes it hard to reason about if you're new to this.

	// https://github.com/pmndrs/zustand/blob/fe47d3e6c6671dbfb9856fda52cb5a3a855d97a6/src/vanilla.ts#L57-L94
	function createStore(createState) {

	with
	dau as (
	-- This part of the query can be pretty much anything.
	-- The only requirement is that it have three columns:
	-- dt, user_id, inc_amt
	-- Where dt is a date and user_id is some unique identifier for a user.
	-- Each dt-user_id pair should be unique in this table.
	-- inc_amt represents the amount of value that this user created on dt.
	-- The most common case is
	-- inc_amt = incremental revenue from the user on dt

	How to quantize 70B model so it will fit on 2x4090 GPUs:

	I tried EXL2, AutoAWQ, and SqueezeLLM and they all failed for different reasons (issues opened).

	HQQ worked:

	I rented a 4x GPU 1TB RAM ($19/hr) instance on runpod with 1024GB container and 1024GB workspace disk space.
	I think you only need 2x GPU with 80GB VRAM and 512GB+ system RAM so probably overpaid.

	Note you need to fill in the form to get access to the 70B Meta weights.