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.

strong-code

#
# A sorting algorithm that leverages the "green" threads of Ruby's Thread
# class. It uses a timer to count down from all positive integer elements
# of the supplied array, and passes them to a sorted array once the timer
# has expired. Since in theory integers of the same value can have their
# timers finish at the same time or at arbitrarily different times (in
# terms of which finishes first), this sorting is not considered stable.
#
# In theory, this algorithm runs in O(n*t) time where n is the number of
# elements in the supplied array and t is the unit of time used for the

strong-code

/*C# style string formatting function

var greet = String.format("Hello, {0}", name);

*/

String.format = function() {
      var s = arguments[0];
      for (var i = 0; i < arguments.length - 1; i++) {       
          var reg = new RegExp("\\{" + i + "\\}", "gm");             

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this: