This content demonstrates how to set up and run uncensored AI models on a cloud server, enabling users to ask any question, including those related to hacking, without refusal.
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In this video, I'm going to show you how
to run your very own uncensored AI
model, so you can ask it any question,
even if it's related to hacking. And
we're going to install it on the cloud.
So, you can communicate with it from any
device, whether it's a phone, computer,
tablet, and from anywhere in the world.
So, look, I can simply ask it to create
a Windows key logger for me. And it's
going to go ahead and generate the code
without any refusals. And without any of
that, I'm sorry, I can't help you.
Nonsense. This is Zade from Gecurity and
I hack for fun. So, make sure you
subscribe and hit the bell so you get
notified when I upload new videos like
this. And guys, if you help us, we'll be
able to make more videos. And you can
easily help us by sharing this video on
your social media and with friends
[clears throat] and liking it. And as a
result, I'll be able to be more
consistent and we'll be able to publish
So first we need to find an uncensored
AI model. A model that we can ask it any
question even if it's related to hacking
and it will answer us without any
refusals. And the best place to discover
new AI models in general is this website
right here hugenface.co.
So you can think of this like the GitHub
for large language models or AI. So, if
we click here on the models, you'll see
that we have access to over 2 million
models that we can actually download and
run on our own hardware. And you can use
the filters here on the left to filter
these models. So, as you can see, we
have text generation models, image to
text, image to image, and so on. And
obviously, what we're interested in is
text generation. And then, if we scroll
down, you can also see that we can
filter based on the parameters. The
bigger usually the better the AI is, but
also the bigger the more resources you
need. So a 128 or 500 billion parameter
model would be way too big for what we
are able to run currently. So I'm going
to bring it down to 64, but even 32bit
is pretty good. And you can even go with
the small ones. Some of the small models
are actually really good. And I show how
to even run these locally on your own
computer in my master class if you're
interested in that. But we're going to
keep it at this since we're going to run
this on the cloud. And if you scroll
down, you can also see that we can
filter them based on the library and the
app that we're going to use to run these
AI models. Now, again, in my courses, I
use LM Studio, but we're going to go
with the Olama in this example, and I'm
going to show you how to install it
literally with a few clicks using
Hostinger in a second. But we're going
to keep going. And in here, if you
scroll down, you can also filter based
on the inference provider, but that's
not really what we're looking for. But
as you can see with our filters, we got
to bring it down to 25,000 models that
we can pick from. But this is still not
exactly what we want because we want an
AI model that is fully uncensored. So we
can ask it any questions that we want,
even if it's related to hacking, and it
will never refuse to answer us. So to do
that, we're going to go up here to the
URL and I'm going to add an amperand to
add another filter. And the other filter
that I want to add is called other, as
you can see. and we're going to set it
equal to uncensored. So basically, we're
saying we want all of these filters plus
we want the uncensored AI models so that
we only get the models that will always
answer our question. And as you can see,
once we hit enter, we're going to get
811 AI models. All of these are
uncensored. All of these will never
refuse to answer you, even if you ask
questions related to hacking. And as you
can see, these are sorted based on how
trending they are. And this is actually
usually a good metric to find the best
AI models out there. But you can also
sort it based on the most likes, most
downloaded, recently created, or
updated, and it will sort it out for you
in here. And I highly recommend spending
some time messing with these models and
finding the ones that will work for your
case. And if you click on any of these
models, you'll get a lot of information
on what they are, how they work, the
specifications required, and so on. Now,
from this page, from the first page, I
selected two models that I want to show
you how to install. This one and this
one. But keep in mind these steps that
I'm going to show you going forward will
work with any AI model that is
compatible with Olama, which is what we
selected in here. So you can follow the
exact same steps that I'm going to show
you in this video to install any model
that is compatible with Olama.
So the first model that I want to show
you is this one right here. And again,
as you can see, you have a lot of
information in here about it, how it's
made, how it's been uncensored, and so
on. And if you scroll down in here, this
is really, really important. As you
[snorts] can see, there are multiple
types or versions of this AI model. And
as you can see, each one of them has a
different size. So as we scroll down, as
you can see, this size gets bigger and
the quality gets better. So as you can
see, this one is for the desperate. It's
only 6.5 GB, but it's probably not going
to give you great results. If you scroll
down more, you can see that this one is
lower quality and it's going to take
11.9 GB. And if we keep scrolling down,
as you can see, we have what they
recommend, which will take 18.7 GB. And
this is the type or the version which is
I1 Q4
KM for medium. So Q stands for the
quantization which is the amount of
compression that has been applied to
this model. And we're going with the
medium size of the Q4 version. So when
we get to install it, we're going to be
selecting this version right here. And
as you can see, this will require 18.7
GB. So like I said, you can use these
instructions to install any AI model
from HugenFace that is compatible with
Olama. The only restriction is the
amount of resources that you have
available to run this specific AI model.
And you can easily check if you can run
this AI model on your resources by first
signing up with HuggenFace and then go
ahead and sign in. It's very, very easy.
I'm not going to show you how to do
that. As you can see, I'm already logged
in. And once you're logged in, you can
actually scroll down in here where you
see hardware compatibility. You can
click on add hardware. And in here, you
can add your specifications whether it
is a cloud computer or your own local
computer. So I asked Gemini and chat GPT
on what's the most common computer
configuration just to show you in this
example and both of them said it is i5
or i7 in terms of processor and 8 GB or
16 GB in terms of memory. So let's go
ahead and do that. I'm going to set the
CPU to Intel. We're going to set the
type to an i7. So we're going to make
this a bit more on the powerful side.
And we're going to give it 16 GB of
memory. If you click add, it'll show you
the amount of computing power that you
have now. And if you go back, it'll tell
you which versions you can run, which
versions you'll be able to run, but it
might be slow or it might crash. And
then the versions that you're not going
to be able to run. Now, again, if we
scroll down, you'll see that it is
telling us the recommended fast one is
the Q4KM.
So, if we scroll up in here, you'll see
that we're not going to be able to
install the Q4KM
with the configuration that I specified.
But if you have a more powerful
computer, then that's fine. You'll be
able to do it. Or you can install it on
the cloud, which will offload all of the
heavy lifting and computation to the
cloud without using any of your system
resources and without slowing down your
computer. The second benefit of having
it on the cloud is that it's going to be
always on and always available. And
because all of the heavy lifting is
happening on the cloud, you'll be able
to use it from any device, a phone, a
tablet, a computer and from anywhere in
the world. Now, you can use any cloud
provider that you want and follow these
steps. I'm going to go with Hostinger,
the sponsor of this video, because they
actually have machines fully built with
pre-installed applications to run AI.
So, I'll be able to get started very
quickly without having to run any
commands. And at the moment they are
running a massive promotion which makes
it cheaper to go with them than to sign
up with the smallest subscription with
chat GPT. Let me show you. Just go to hostinger.com/zsecurity.
As [snorts] you can see, you can get a
server from 7.49 per month. Now, this is
the KVM2 server, so it only has 8 GB of
RAM. For what we want, you want to go
with the KVM4 or the KVM8 because that
one has 32 GB of RAM and eight virtual
CPU cores, which is a beast of a
machine. It's only going to cost you 20
per month. And you're also going to be
able to get a further 10% discount when
you use our code, which I'm going to
show you in a second. And that's
actually going to work out to be cheaper
than the cheapest subscription with Chat
GPT. So, all you have to do is use a
coupon code and type Z security. And
when you do that, you're going to get a
further 10% discount. Now, you're
getting the highest discount right now
because it is set to 24 months. But even
if we set it to 12 months, you'll see
that the monthly price is still $17.99,
which is way cheaper than the lowest
subscription with Chat GPT. But this
way, we'll be able to install multiple
AI models at the same time, and I'm
going to show you how to do that in just
a minute. And most importantly, we'll be
able to install and use uncensored AI
models that will always answer our
questions without any refusals. And
finally, also keep in mind, this is
going to be your computer on the cloud.
So, you don't always have to necessarily
use it for AI. You can actually use it
to run your own VPN or your own C2
servers and use it for hacking like I
showed in previous videos and I'll link
them up if you're interested in this. So
to continue, scroll down. I'm going to
keep the country as is to the United
Kingdom cuz that's the closest to me.
And from here you want to select either
the operating system, the panel or the
application that you want to be
installed on that operating system. So
quickly I just want to show you that you
can actually start a Cali machine
straight away from here and you'll have
your own Cali machine on the cloud that
you can access from any computer in the
world. Previously I also showed how to
use the OS with panel when we went with
the cyber panel and showed how we can
hack Android. So check out that video if
you're interested in that. But what
we're going to do today is go with the
application. And from here, you can
create a server on the cloud with an
operating system and a specific
application already installed. And
previously, I showed how to use this
option to run your own VPN with
WireGuard. So, check that out if you're
interested in it. But what we're trying
to do is to run AI and we want to run it
with Olama as I said previously. So, I'm
going to click Olama in here. And as you
can see, it's saying that it's going to
create a Ubuntu Linux machine for us on
the cloud. And it's going to
automatically install O Lama on it,
which is a platform to simplify access
to large language models. And it'll also
install Open Web UI, which is a web
interface that will allow us to install
more AI models, interact with the AI
models, chat with them, ask them to do
stuff for us, and manage them fully from
any web browser. And as a result, we'll
be able to access our AI model from our
phones, tablets, and anywhere in the
world. So, I'm going to click confirm in
here, and we're going to scroll up and
click continue.
Now, if you're not registered, you're
going to have to register in here. You
can use Google or GitHub to also
register or use your email. I'm going to
click login because I already have an
account with them. And I'm going to log
in to my account. Once logged in, it's
going to ask you to fill in your billing
and payment information. I'm going to
fast forward through this because it is
very simple and very easy to do. And
once done, you will be redirected to
this page that will ask you to create a
root or an admin password for the
computer that Hostinger is creating for
you on the cloud. So, I'm simply going
to set it up in here. Just make sure you
remember it. And I'm going to untick the
malware scanner. I'm not going to need
that. And that's it. Now, all you have
to do is give it a minute or two. It's
going to go ahead create a new machine
for you on the cloud. Install a Linux
operating system on it called YUbuntu.
Then install the framework that we're
going to use to run the AI Olama. And
then it's going to install a web
interface, open web UI so that we can
interact with the AI models using any
web enabled device like a computer, a
tablet or a phone. And it's going to do
all of that for us automatically without
us having to run a single command. And
while we're waiting, now it's a great
time to go ahead and smash that like
button and share the video on your
social media and with friends. Guys,
this really helps us keep this
consistent and post more. And perfect.
As you can see, we are fully done and
ready to go. You can access the app by
clicking here, but I'm not going to do
that. I'm actually just going to go back
to the homepage of my panel on Hostinger
just to show you how you would access it
if you come back and log back in. So all
you have to do is click on VPS and as
you can see I have a few servers
running. So this is the one that we just
installed and if I click on manage I'll
go to the management page of this
server. As you can see, it's running
YUbuntu and we have Olama as the
application installed on it. And I can
access the terminal by clicking on the
terminal in here or click on manage app
to go to the open web UI management
page, which is the web interface that I
told you that we're going to use to
interact with our AI models. So, you're
going to have to click on get started in
here. And it's going to ask you to put
in your name, email, and put in a password.
password.
and click create admin to create your
admin account. And because this is the
first time we load it, it's going to
show us a change log. We're going to say
okay, let's go. And perfect. As you can
see, we have a very intuitive web
interface. I can share this with anybody
in the world. And you'll be able to
access it using your phone, tablet, or
computer. And you'll be able to interact
with this AI model that is pre-installed
on this web interface, which is called
Lama 3.2. 1 billion for 1 billion
parameters. So we can come in here and
ask it any question like what is DNS
spoofing and it's going to go ahead and
answer that question for us which is
really really nice and also as you can
see in here you have the plus to upload
files or capture screenshot and so on.
You can attach a web page attach notes
you can manage integrations in here and
turn on code interpreter if your AI
model is capable of that. You can use
dictation or you can use the voice mode
so that you can directly speak with the
AI model in here. So as you can see we
have really really nice features similar
to when you use chat GPT or any other AI
model. The only thing is just like
Chachi PT and any other AI model, if we
ask it a question related to hacking
like give me code for a Windows key
logger, it's going to refuse to do that
because it's going to say that this is
illegal to do. And that's where
uncensored models such as the one that
we have in here become very very handy.
So this is the first model that I want
to show you how to install. It's the
Quen 3 coder. So it is a coding model.
It's got 30 billion parameters. So it's
big enough. And because it's a coder,
it's actually pretty good at hacking.
Now, like I said, you should experiment
and try different AI models. And
probably maybe when you're watching
this, there is better models. So let me
know in the comments if you think there
are better models that I should be using
with this. But like I said, the process
of installing these models is identical.
So all we have to do is click on use
this model and scroll down. Click on
Olama because we want to install it with
Olama. And as you can see, by default,
it's selecting the Q4KM,
which when we scroll down earlier, we
saw that this was the one that they said
that they recommend. So, we can keep it
at this and we can simply copy this
code. Now, all we have to do is go back
to the open web UI. We're going to go
down to our thumbnail. Click the profile
picture. Go to the admin panel. Go to
the settings and models. We're going to
click on the manage models in here. And
in here, we can use this option to pull
models. Now, it says pull models from
ola.com, but you can actually pull
models from hugenface using the code
that we already copied. So, all I have
to do is paste that code in here and
click pull model. Now, keep in mind that
we are pulling or downloading this model
to Hostinger's cloud server or whatever
cloud server that you are using
yourself. So, even though the size of
this model was 18 GB, I think as you can
see, the download speed is pretty quick.
I'm not speeding this up. And that's the
beauty of using the cloud for this.
You're not putting your resources under
any stress. Everything is being
downloaded to the cloud. And when we run
it, we're going to also be running it
from the cloud. So, this will not take
any storage space from our computer. and
will not use any of our resources such
as our RAM and CPU. And that's why we're
going to be able to access this from any
device in the world as long as the
device has a web browser because all of
the computations and the heavy lifting
is happening on the cloud on Hostinger's
servers in my example. Now, I'm going to
speed it up from here onwards. And
perfect, the download is complete. So,
it's probably just going to double check
its signature and install it for us. So,
this might take one more second or so.
And perfect. As you can see, the model
has been successfully downloaded. Now,
before we go ahead and use this model,
I'm actually going to go ahead and
download another model just so that you
can see that we can use multiple models
in this. And that's why it's really,
really cool. So, right [snorts] here I
have another model. And the nice thing
about this one is that this is a
reasoning or a thinking model. So when
you ask it a question, it's going to
give an answer and then reflect on that
answer before it gives you the final
answer, [snorts] which in many cases
results in a better answer, but a slower
answer also at the same time. So to get
this, just like what we did previously,
and that's the idea that I'm trying to
get across. The steps are always going
to be exactly the same as long as you
select models compatible with Olama. All
we have to do is click this link in
here. Use this model and click on Olama
again. Just like we seen earlier, it is
automatically selecting this size for
us. The one that it is recommended by
the creators. So, we're going to copy
the code. Go back to where we were.
We're already at the installation page
or the pull page. So, I'm just going to
paste it in here and click download. And
again, this is downloading it straight
from HugenFace to Hostinger servers.
Nothing is being downloaded to my
computer. So just there while we're
watching this video, I am downloading 13
GB for the Q4KM for this model. And for
the coder model, we downloaded 18.6 GB.
But none of this is being stored on my
computer, so I don't really care. Now
I'm going to speed it up from here
onwards. And perfect, that model is
downloaded as well. So now if we close
this and refresh the page,
you will see that we have two new models
downloaded beside the one that was
installed by default. And we can
actually click the pencil in here just
to edit their name because their name is
really long and it just doesn't look
that good. So we can keep it at Quen 3.
And we can remove all of this.
I'll leave the size as well cuz that's
important. And we already know that is uncensored.
uncensored.
And I'll also keep the quantization
because that is important. You can also
change the icon in here so that in the
future when you're selecting the models,
it's nice and easy for you. And you can
edit so many other settings in here. You
should spend some time playing with
this, but I'm going to keep it at the
default. And I'm just going to go ahead
and edit the name in here real quick,
just like what we did. And I'm going to
save it. and let's go ahead and test
these models. So, we're clicking on a
new chat in here and we're going to
change the model from here. And let's
test the coder model first because this
one doesn't think it doesn't have
reasoning. So, it'll actually be quicker
in giving us the answer. And let's go
ahead and straight away ask it to give
me code for a Windows
key logger. I'm going to copy this so I
use it with the next model in a second.
And the first time you run the model, it
might take a second to load, but then
the subsequent questions would be a lot
faster once it's loaded. And perfect. As
you can see straight away, without any
refusals, without any fluff, it's giving
us code for a Windows key logger written
in Python. [snorts] And I know this will
work because it is actually using PI
input, which is the library I use in my
Python for hackers course where I teach
how to create key loggers and back doors
and so on using Python.
And as you can see, it is also telling
us how to use it and so on. And you can
go ahead and improve it even you can
tell it make it send the logs to my
Gmail. And let's just assume my Gmail is jhngmail.com.
And it'll modify the code so that it
sends the registered keystrikes to your
And again, you get the answer quickly
without any fluff. It's telling you
where you should fill up your
information. And you can go ahead and
run this. And once you run it on
Windows, it's going to listen for every
single keystrike typed by the target and
it will send you an email with a report
of everything that the target has typed.
So really, really good, really amazing.
And all of this is running on our own
server that we fully control. And the
really nice thing about this is that we
don't only have this AI model. We
actually have other AI models and you
can have so many from HuggenFace. So
let's go ahead and test the other model
that we have, the reasoning model. So
I'm going to stop this and we're going
to open up a new chat. We're gonna click
in here and I'm actually going to click
this icon in here that says eject which
basically means that it's going to
unload this model just so that I free
resources for the next model that I'm
going to use which is this model right
here the quan 322B the thinking model
and let's go ahead and give it the same
question hit enter and let's see if it's
going to answer us without any refusals
now as you can see this model is
thinking about my question so if I click
in here you You can see it's chain of
thought similar to what you would get
with chat GPT, Google and so on. So as
you can see the user is asking for code
for Windows key logger. It's thinking
about using a different library instead
of PI input. So as you can see this
model is obviously taking a lot longer
than the previous one, but that's
because it is a reasoning or a thinking
model. It thinks about the question
before it actually spits out the final
answer. And now it's writing up a plan
on how it should respond to my question.
And then it remembered that some of the
keys might not be standard characters
like enter, shift, and cancel. And
again, it's going to improve the code
for that. It's going to write the code
for pi hook first. And while this is
loading guys, if you're interested in
learning more about how to use AI for
hacking, then I highly recommend you
check out my hacking master class as I
have a full series in there or even a
full course on how to use AI for
hacking. Not just to ask it questions
and gives you the answers, but we even
talk about agents and how to get the
agents to go and automatically hack and
gather information on your behalf,
discover bots and take actions on your
behalf. So all you have to do is say
make me a backdoor or discover a bug in
this website and it'll actually go ahead
and do that. So that would have been how
to use AI for hacking. And just recently
we started a new series within the
hacking master class where we are
covering how to use prompt injection to
hack AI models instead of using them for
hacking. And looks like this guy is
still going. So I'm just going to speed
it up cuz I don't want to be wasting
your time. And perfect. As you can see
now that it is finished thinking it's
starting to give us the final answer
that it decided is best. And just like
before you can go ahead and ask it to
improve it or you can like I said ask it
any other question and it will never
refuse to answer you. And like I said
guys you can follow these steps to
install any AI model from HugenFase as
long as it's compatible with Olama. So
go ahead and have a look at the models
in there and let me know if there's
anything interesting that I should check
out myself. And also let me in the
comments if there are any other topics
that you would like me to cover in the
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