darth-veitcher

Synology Gitea setup

Install Docker

Package Centre > Docker > Install

Create folders

    /docker/gitea/postgresql
 /docker/gitea/gitea

darth-veitcher

This was a proper pain... Turns out there's a whole host of issues with the rtl8188eus driver.

Steps to fix (on Debian / RaspberryPi OS).

1. Install build tools

sudo apt install -y \
  build-essential \
 git \

darth-veitcher

"""
WARNING: dont use loguru, use structlog
https://gist.github.com/nkhitrov/38adbb314f0d35371eba4ffb8f27078f


Configure handlers and formats for application loggers.
"""
import logging
import sys
from pprint import pformat

darth-veitcher

High level instructions for getting GPT4All working on MacOS with LLaMACPP

See nomic-ai/gpt4all for canonical source.

Environment

• This walkthrough assumes you have created a folder called ~/GPT4All. Adjust the following commands as necessary for your own environment.
• It's highly advised that you have a sensible python virtual environment. A conda config is included below for simplicity. Install it with conda env create -f conda-macos-arm64.yaml and then use with conda activate gpt4all.

darth-veitcher

Optimum CUDA Device

Simple script to detect operating system, GPU architecture, and return device for CUDA usage. Useful for when running on MacOS with Apple Silicon and need to swap out hardcoded cuda:0 type strings for mps.

"""Uses some sensible logic to determine platform and best available device for pytorch.

Assumed combinations (in order of preference):

* CUDA (nvidia GPU) / AMD (ROCm)

darth-veitcher

Stable Diffusion on Apple Silicon

This repository outlines what I have done in order to get Stable Diffusion running on a MacBook Pro with a M2 chip.

Exact Specs:

Key	Value
Model	MacBook Pro
Screen	14"

darth-veitcher

Set up microk8s with Cilium for development

Microk8s is a Canonical project to provide a kubernetes environment for local development, similar to minikube but without requiring a separate VM to manage. These instructions describe setting it up for common development use cases with Cilium and may be helpful in particular for testing BPF kernel extensions with Cilium.

Microk8s will run its own version of docker for the kubernetes runtime, so if you have an existing docker installation then this may be confusing, for instance when building images the image may be stored with one of these installations and not the other. This guide assumes you will run both docker daemon instances, and use your existing docker-ce for building Cilium while using the microk8s.docker daemon instance for the runtime of your kubernetes pods.

Requirements

• Linux with kernel 4.9 or newer ([Full Cilium Requirements](https://cilium.readthedocs.io/en/latest/install/system_requirements/?highlight=requiremen

darth-veitcher

# Use hyper.is or iTerm2 as terminal emulators

# Install ohmyzsh 
# https://github.com/robbyrussell/oh-my-zsh

# Copy over configs from ~/.bash_profile
# For example, it may have the nvm setup or any aliases like exa=ls and cat=bat

# ~/.hyper.js configuration:
copyOnSelect: true

darth-veitcher

dig -4 TXT +short o-o.myaddr.l.google.com @ns1.google.com | awk -F'\"' '{ print $2}'

darth-veitcher

#!/user/env python3
# Script to determine the latest NodeJS release available.
# Written in pure python 3 with no additional dependencies.
from urllib import request
from typing import List
import json
import logging
import argparse