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Setup Guide for `llama.cpp` on Nvidia Jetson Nano 2GB

This is a full account of the steps I ran to get llama.cpp running on the Nvidia Jetson Nano 2GB. It accumulates multiple different fixes and tutorials, whose contributions are referenced at the bottom of this README.

Procedure

At a high level, the procedure to install llama.cpp on a Jetson Nano consists of 3 steps.

Compile the gcc 8.5 compiler from source.

	package main

	import (
	"github.com/kardianos/service"
	"log"
	"flag"
	)

	type Service struct {}

	#!/usr/bin/python3
	import os
	import sys
	import numpy as np

	def read_value(string, index):
	#go to the beginning of the value
	while svg_content[index] not in numerals:
	index+=1
	#read in the value

	#!/usr/bin/env bash

	# Abort sign off on any error
	set -e

	# Start the benchmark timer
	SECONDS=0

	# Repository introspection
	OWNER=$(gh repo view --json owner --jq .owner.login)

	Install VMWare Workstation PRO 17 (Read it right. PRO!)
	Also, these keys might also work with VMWare Fusion 13 PRO. Just tested it.

	Sub to me on youtube pls - PurpleVibe32
	if you want more keys - call my bot on telegram. @purector_bot (THE BOT WONT REPLY ANYMORE) - Or: https://cdn.discordapp.com/attachments/1040615179894935645/1074016373228978277/keys.zip - the password in the zip is 102me.
	---
	This gist can get off at any time.
	PLEASE, DONT COPY THIS. IF YOU FORK IT, DONT EDIT IT.
	*If you have a problem comment and people will try to help you!
	*No virus

	#!/bin/bash

	docker ps --format "{{.Names}}" \| while read container; do
	ip=$(docker inspect --format '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' "$container")
	printf "%-40.40s\t%s\t%s\n" "$container" "$ip"
	done

	# Git
	.git
	.gitignore
	.gitattributes


	# CI
	.codeclimate.yml
	.travis.yml
	.taskcluster.yml

	# rawhid_code.py -- copy to CIRCUITPY as "code.py"
	# don't forget to install rawhid_boot.py as "boot.py" and press reset
	# works with report IDs up to 63 byte report count
	# test with hidapitester like:
	# ./hidapitester --usagePage 0xff00 --usage 1 --open -l 64 --send-output 2,3,4,5 --timeout 1000 --read-input 1
	# adapted from code presented here:
	# https://github.com/libusb/hidapi/issues/478

	import time
	import usb_hid

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Setup Guide for llama.cpp on Nvidia Jetson Nano 2GB

Procedure

Setup Guide for `llama.cpp` on Nvidia Jetson Nano 2GB