I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
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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
.
node { | |
echo 'Results included as an inline comment exactly how they are returned as of Jenkins 2.121, with $BUILD_NUMBER = 1' | |
echo 'No quotes, pipeline command in single quotes' | |
sh 'echo $BUILD_NUMBER' // 1 | |
echo 'Double quotes are silently dropped' | |
sh 'echo "$BUILD_NUMBER"' // 1 | |
echo 'Even escaped with a single backslash they are dropped' | |
sh 'echo \"$BUILD_NUMBER\"' // 1 | |
echo 'Using two backslashes, the quotes are preserved' | |
sh 'echo \\"$BUILD_NUMBER\\"' // "1" |
Get Homebrew installed on your mac if you don't already have it
Install highlight. "brew install highlight". (This brings down Lua and Boost as well)
Author: Yotam Gingold
License: Public Domain (CC0)
This document is intended as a reference or introduction to JavaScript for someone familiar with a language like C/C++/Java or Python. It follows best practices and gathers the scattered wisdom from matny stackoverflow questions and in-depth JavaScript essays. It relies on no external libraries.
#!/bin/bash | |
# https://cloud.google.com/compute/docs/faq#find_ip_range | |
# nslookup -q=TXT _cloud-netblocks.googleusercontent.com 8.8.8.8 | |
myarray=() | |
for LINE in `dig txt _cloud-netblocks.googleusercontent.com +short | tr " " "\n" | grep include | cut -f 2 -d :` | |
do | |
myarray+=($LINE) | |
for LINE2 in `dig txt $LINE +short | tr " " "\n" | grep include | cut -f 2 -d :` |
package main | |
import ( | |
"context" | |
"flag" | |
"fmt" | |
"log" | |
"net/http" | |
"os" | |
"os/signal" |
The guide breaks the process down into three steps, all performed via copying and pasting the code snippets through the terminal window. To launch a terminal window, open the Utilities folder inside the Applications folder and select terminal.
The first step makes a backup of the original IOAHCIBlockStorage file called IOAHCIBlockStorage.original. You will be prompted to enter in your system password when using the "sudo" command, since you are modifying system files. Copy and paste the code into the terminal window, a successful or uneventful response is a new blank terminal line.
sudo cp /System/Library/Extensions/IOAHCIFamily.kext/Contents/PlugIns/IOAHCIBlockStorage.kext/Contents/MacOS/IOAHCIBlockStorage /System/Library/Extensions/IOAHCIFamily.kext/Contents/PlugIns/IOAHCIBlockStorage.kext/Contents/MacOS/IOAHCIBlockStorage.original
Next the code patches the IOAHCIBlockStorage file, removing the requirements that the SSD be made by Apple. Copy and paste t