rain-1

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

evadne

How to Sell Elixir AGAIN (2023)

Presented by Evadne Wu at Code BEAM Lite in Stockholm, Sweden on 12 May 2023

Synopsis

We have celebrated 10 years of Elixir and also nearly 25 years of Erlang since the open source release in December 1998.

Most of the libraries that were needed to make the ecosystem viable have been built, talks given, books written, conferences held and training sessions provided. A new generation of companies have been built on top of the Elixir / Erlang ecosystem. In all measures, we have achieved further reach and maturity than 5 years ago.

jmatsushita

###
### [2023-06-19] UPDATE: Just tried to use my instructions again on a fresh install and it failed in a number of places. 
###.   Not sure if I'll update this gist (though I realise it seems to still have some traffic), but here's a list of 
###.   things to watch out for:
###      - Check out the `nix-darwin` instructions, as they have changed.
###      - There's a home manager gotcha https://github.com/nix-community/home-manager/issues/4026
###

# I found some good resources but they seem to do a bit too much (maybe from a time when there were more bugs).
# So here's a minimal Gist which worked for me as an install on a new M1 Pro.

mizchi

import prettier from "prettier/standalone";
import produce from "immer";
import { parse } from "svelte/compiler";
import type { Ast } from "svelte/types/compiler/interfaces";
// @ts-ignore
import * as sveltePlugin from "prettier-plugin-svelte";

function printTemplate(ast: Ast) {
  const overridePlugin = produce(sveltePlugin, (d: any) => {
    d.parsers.svelte.parse = () => {

LakshyAAAgrawal

Pytranslate - Maxima to Python Translator

Introduction

Package pytranslate, introduced through merge #15 and #17 as a loadable package in Maxima provides Maxima to Python translation functionality. It was developed under the mentorship of Dimiter Prodanov and Robert Dodier as an [INCF](https://www.incf.org/activities/training/google-sum

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

mivade

import asyncio
from pathlib import Path
from typing import Optional

from watchdog.events import FileSystemEvent, FileSystemEventHandler
from watchdog.observers import Observer


class _EventHandler(FileSystemEventHandler):
    def __init__(self, queue: asyncio.Queue, loop: asyncio.BaseEventLoop,

dhilip89

/**
 * 1. Original JS Implementation by Jeff Greenberg 2/2001 - http://home.earthlink.net/~kendrasg/info/js_opt/
 * 2. (fast duff's device) from an anonymous donor to Jeff Greenberg's site
 * 3. (faster duff's defice) by Andrew King 8/2002 for WebSiteOptimization.com
 * 4. bug fix (for iterations<8) by Andrew B. King April 12, 2003
 */
function duffsDevice (iterations) {
  var testVal = 0,
      n = iterations % 8;

binary1230

3/18/2021: WE HAVE MOVED: For the latest instructions on how to use the bulk wells fargo PDF downloader, 
please ignore this page and visit below:

https://github.com/binary1230/wellsfargo-bulk-PDF-statement-downloader/blob/main/README.md

senko

# maybe.py - a Pythonic implementation of the Maybe monad
# Copyright (C) 2014. Senko Rasic <senko.rasic@goodcode.io>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#