Version: 1.0 Last Updated: 2025-01-27 Status: Active
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.
| {-# LANGUAGE TypeSynonymInstances #-} | |
| data Dual d = D Float d deriving Show | |
| type Float' = Float | |
| diff :: (Dual Float' -> Dual Float') -> Float -> Float' | |
| diff f x = y' | |
| where D y y' = f (D x 1) | |
| class VectorSpace v where | |
| zero :: v |
| #!/usr/bin/env python | |
| # | |
| # Electrum - lightweight Bitcoin client | |
| # Copyright (C) 2011 thomasv@gitorious | |
| # | |
| # This program is free software: you can redistribute it and/or modify | |
| # it under the terms of the GNU General Public License as published by | |
| # the Free Software Foundation, either version 3 of the License, or | |
| # (at your option) any later version. | |
| # |
This is a description of how to get started with Signet. This document assumes you are capable of using git, and that you are able to compile Bitcoin. (If you have not yet done so, you should begin by doing that now.)
$ git clone https://github.com/kallewoof/bitcoin.git signet
$ cd signet
$ git checkout 2003-signet-consensus| # -*- coding: utf-8 -*- | |
| from TwitterAPI import TwitterAPI | |
| from collections import Counter | |
| import json | |
| import time | |
| import logging | |
| # Edit ff.py for your account. Go to https://apps.twitter.com/ to get your API keys. | |
| # Don't forget to fill in your screen name (or someone else's). |
Here's a list of mildly interesting things about the C language that I learned mostly by consuming Clang's ASTs. Although surprises are getting sparser, I might continue to update this document over time.
There are many more mildly interesting features of C++, but the language is literally known for being weird, whereas C is usually considered smaller and simpler, so this is (almost) only about C.
1. Combined type and variable/field declaration, inside a struct scope [https://godbolt.org/g/Rh94Go]
struct foo {
struct bar {
int x;| # source:http://geocities.com/SiliconValley/heights/7052/opcode.txt | |
| From: mark@omnifest.uwm.edu (Mark Hopkins) | |
| Newsgroups: alt.lang.asm | |
| Subject: A Summary of the 80486 Opcodes and Instructions | |
| (1) The 80x86 is an Octal Machine | |
| This is a follow-up and revision of an article posted in alt.lang.asm on | |
| 7-5-92 concerning the 80x86 instruction encoding. | |
| The only proper way to understand 80x86 coding is to realize that ALL 80x86 |
| import random | |
| import pprint | |
| from .magic import Spell | |
| class bcolors: | |
| HEADER = '\033[95m' | |
| OKBLUE = '\033[94m' | |
| OKGREEN = '\033[92m' | |
| WARNING = '\033[93m' | |
| FAIL = '\033[91m' |
I recently happened upon a very interesting implementation of popen() (different API, same idea) called popen-noshell using clone(2), and so I opened an issue requesting use of vfork(2) or posix_spawn() for portability. It turns out that on Linux there's an important advantage to using clone(2). I think I should capture the things I wrote there in a better place. A gist, a blog, whatever.
This is not a paper. I assume reader familiarity with
fork()in particular and Unix in general, though, of course, I link to relevant wiki pages, so if the unfamiliar reader is willing to go down the rabbit hole, they should be able to come ou