mdipierro

#! /usr/bin/bash                                                                       
"""":
# if Nix not installed, install it, then rerun this script with nix-shell              
[ -f /etc/nix/nix.conf ] || curl -L https://nixos.org/nix/install | sh -s -- --daemon
exec nix-shell --command "python $0 $@" \
     -p python311 \
     -p python3Packages.numpy
# add any package you want above and they will be added to the shell                   
exit 1
""" #"

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.

sagivf

Problem

Count() is O(n).

This can send a new developer running to the hills, as it seems like a trivial problem, however it is not. While we hope this gets addressed in the future (even in a non ideal way), there are work arounds.

Relevant Issues:

• rethinkdb/rethinkdb#5894
• rethinkdb/rethinkdb#2411
• rethinkdb/rethinkdb#3949

inexorabletash

URLs into Indexed DB, via Service Workers

Let's say you're using Indexed DB for the offline data store for a catalog. One of the object stores contains product images. Wouldn't it be great if you could just have something like this in your catalog page?

<img src="indexeddb/database/store/id">

marchawkins

<div class="row">
	<div class="col-md-2 col-sm-2 col-xs-2">
		<p><button class="btn btn-primary btn-sm" id="get-location-btn"><span>Get Location</span></button></p>
	</div><!-- .col -->
	<div class="col-md-10 col-sm-10 col-xs-10">
		<div class="panel panel-default">
			<div class="panel-heading">Location Response</div>
			<div class="panel-body">
				<p>Lat/Long: <input id="location-lat-long" type="text" class="form-control"/></p>
				<p>Address: <input id="location-address" type="text" class="form-control"/</p>

abhinavsingh

import zmq

def main():
    try:
        context = zmq.Context(1)

        frontend = context.socket(zmq.SUB)
        frontend.bind('tcp://*:5559')
        frontend.setsockopt(zmq.SUBSCRIBE, '')

nephics

# 
# Test of experimental Tornado feature for a streaming request body handler, see
# https://github.com/nephics/tornado/commit/1bd964488926aac9ef6b52170d5bec76b36df8a6
#

#
#  Client sending file to server
#

import tornado.httpclient as httpclient