I Built JARVIS to Work Completely Offline (INSANE Results!) — Transcript
Full transcript
- 0:00Jarvis, what machine are you currently
- 0:01running on?
- 0:03>> Your local Mac, sir. A rather powerful
- 0:05one, if I may say so. Powerful enough
- 0:07that I've stopped returning the cloud's
- 0:08calls. [music] And before you ask,
- 0:10everything is local. Local brain, a
- 0:12local LLM, local voice, local memory.
- 0:15Nothing you say leaves this [music]
- 0:16room, and nobody is listening in. The
- 0:18only thing I share with the internet
- 0:19these days is a healthy distrust.
- 0:22>> [laughter]
- 0:23>> Jarvis, switch to Gemma 4 12 billion
- 0:25parameters.
- 0:27>> Gemma 4 fitted, sir. 12 billion
- 0:29parameters, all of them local. Give me a
- 0:31moment, the fan and I are getting
- 0:32acquainted.
- 0:33>> So, my personal AI assistant Jarvis now
- 0:35runs completely on a separate computer
- 0:37fully offline. So, in this video, I'm
- 0:39going to show you how Jarvis works, how
- 0:41you can build your own AI assistant like
- 0:43Jarvis, and run it fully offline on a
- 0:45machine like a Mac mini, a Mac Studio,
- 0:47or a Windows machine. We're talking
- 0:49local AI models, local voice, and local
- 0:51memory. No subscription and no API bills
- 0:54at all. And I'm also going to give you
- 0:55this full prompt pack and guide
- 0:57completely for free, which gives you all
- 0:59of the prompts and all of the guides you
- 1:00need to build your own Jarvis today. And
- 1:02then most importantly, I'm going to talk
- 1:03about which hardware works best, what to
- 1:06buy, how much unified memory you're
- 1:07actually going to need to run these
- 1:09models, which AI models run best on
- 1:12which machine, and how to set all of it
- 1:14up. All right, let's get started. All
- 1:15right, so just so you guys know what's
- 1:16going to happen in the video, feel free
- 1:17to skip around if you want to. I'm going
- 1:19to have the chapters below. So, first of
- 1:20all, I'm going to start with a demo, so
- 1:21that way you can see exactly how Jarvis
- 1:23performs when it's running locally on my
- 1:25machine with all local models and
- 1:28everything completely private, right?
- 1:30And then afterwards, I'm going to talk
- 1:31about uh the difference between what
- 1:34type of machines, essentially what
- 1:35hardware is going to be required for
- 1:38running different AI models, and then
- 1:39I'm going to talk about which models
- 1:41will fit on the hardware of your
- 1:44choosing, depending on your budget. Like
- 1:45I said, there's going to be lots of
- 1:47differences here. And then of course,
- 1:48like I mentioned, I'm going to give you
- 1:49guys this uh full prompt pack, which is
- 1:51going to include all of the guides,
- 1:53including the hardware setup and
- 1:55everything else, and all of the prompts
- 1:56you need to set up your own Jarvis on
- 1:59your own machine. And then I'm also
- 2:00going to quickly point out how you can
- 2:02uh install locally AI models using
- 2:05Ollama and then also an open source
- 2:07model for the voice cloning and voice
- 2:09interaction as well. Okay, so that's
- 2:10going to be the whole video here. So
- 2:12let's go ahead and start with a full
- 2:14demo first. Now, for those of you have
- 2:16seen my previous video, this is Jarvis
- 2:18and what you're seeing spinning here,
- 2:20these are all of my local files, my
- 2:21local local brain, local second brain,
- 2:24right? And then Jarvis on the right hand
- 2:25side as you can see has
- 2:28multiple options as far as the look and
- 2:30feel of it and then it has access to a
- 2:32bunch of different tools. So he becomes
- 2:33a truly personal AI assistant. Now by
- 2:36default, I've been running him on Opus
- 2:385.5 and then on 11 labs, but now if I
- 2:40want to run him on my local machine, I
- 2:43can just basically interact with them
- 2:45and just say something like Jarvis,
- 2:47switch to your local brain.
- 2:50So now Jarvis is thinking.
- 2:51>> Quen 3.5 fitted, sir. 9 billion
- 2:53parameters running right here on your
- 2:55Mac. I'm smaller now, so do speak
- 2:57slowly.
- 2:57>> So there you go. As you can see, Jarvis
- 2:59is now running. When I say local
- 3:00machine, by default I've set that cuz I
- 3:03like really like Quen 3.5, the 9 billion
- 3:05parameter model.
- 3:07Uh so it automatically switches to that,
- 3:09but I have a bunch of other local models
- 3:11because I have a pretty powerful
- 3:12machine, so I have a ton of different
- 3:14models that I've downloaded. So
- 3:15something like a Gemma 4, 12 billion
- 3:17parameters and higher models. So I'm
- 3:20going to talk about the hardware setup
- 3:21in a little bit. But again, same thing,
- 3:23it's very simple. All I have to say is
- 3:25just tell him to Jarvis, go ahead and
- 3:27switch to a Gemma 4, 12 billion
- 3:29parameters.
- 3:31That's all I have to tell him and then
- 3:32he understands and first of all finds
- 3:34out if he has access to that particular
- 3:36model and then of course he'll be able
- 3:37to switch his brain
- 3:39>> Right then, sir. Consider me an upgrade
- 3:41less prone to existential crises than
- 3:43the previous model and marginally more
- 3:46patient with your requests.
- 3:47>> [laughter]
- 3:48>> Actually, you must have not heard me
- 3:49right, but you can see I had him also
- 3:52switch to the Gemma 3, 27 billion
- 3:54parameter model as well. So I have a
- 3:56bunch of different Gemma models that
- 3:58I've downloaded. But you get the idea,
- 3:59right? Like I'm I'm very I can very
- 4:02easily tell him to switch his
- 4:04models, his brain to different models.
- 4:06And I can always tell him to go back to
- 4:08the cloud brain as well. Jarvis, go back
- 4:11to your cloud brain.
- 4:13>> Opus 55 online, sir. Full strength, full
- 4:15price, full sentences.
- 4:16>> There you go. So now that's how easy it
- 4:17is for me to switch back and forth
- 4:19between the cloud brain, which operates
- 4:21with APIs, of course. I use Anthropic
- 4:24APIs. So he can switch very easily. And
- 4:27the same thing,
- 4:28right now he's running on 11 Labs for
- 4:30voice interaction. That's why you see
- 4:31how fast it is, but I can also switch
- 4:33his voice to run on a local
- 4:36voice clone using Voice Studio, which is
- 4:38an open-source platform that I'm going
- 4:40to talk about in a little bit. But same
- 4:41thing, I can say, "Jarvis, switch to
- 4:44your local voice."
- 4:48There you go. So now Voice Studio opens
- 4:50up
- 4:51because I
- 4:52Voice Studio was turned off, so that's
- 4:54why it automatically opens that up. But
- 4:56if it's already if you have already
- 4:58Voice Studio open, then
- 5:00>> How do I sound, sir? This is my local
- 5:02voice.
- 5:02>> There you go. So that's how easy it is
- 5:04for us to So by the way, I I was going
- 5:06to point out that if you already have
- 5:07Voice Studio open, so we'll just quickly
- 5:09switch to that. But just because I had
- 5:11turned off the application, that's why
- 5:13it took a couple of seconds to open the
- 5:15application and then it said, "Now it's
- 5:17my local voice." Right? So that's how
- 5:19simple it is for me to have Jarvis move
- 5:22from cloud to local version completely.
- 5:24And like I said, now right now because I
- 5:26can have him run everything locally on
- 5:28my Mac, then it means that it's
- 5:30completely private and it has no access
- 5:33to anything outside. And of course, he
- 5:35can do a lot of things, right? So I have
- 5:38the ability for him to use all of the
- 5:40tool at his dis- all of his tools at his
- 5:42disposal, like the Gmails, Google
- 5:44Calendars of the world, Notion. And then
- 5:46I can always give him more tools. And of
- 5:48course, he can always I can always have
- 5:50him interact with my local my second
- 5:54brain here and pull up any of the files
- 5:56or anything that I want. And it's very
- 5:58simple to do. So I can say something
- 5:59like, "Jarvis, pull up my free school
- 6:01community." So there you There you it's
- 6:03going to find out all of the folders
- 6:05>> I've pulled up all the information, so
- 6:06you can read it yourself. Or if you'd
- 6:08like, say read it out loud and I shall.
- 6:10>> There you go. So, now you can see it's
- 6:12pulling up all of the stuff that's
- 6:14related to my Free School Community. Of
- 6:16course, Free School Community is my
- 6:18business that I run where I provide you
- 6:19guys all of the free resources. And I
- 6:21also have a paid community. It's all
- 6:23part of my brand, right? So, that's how
- 6:24you can how I can interact with Jarvis
- 6:27to my second brain. Of course, I used
- 6:29Opus 5. I just realized I used Opus Opus
- 6:315.5, but this is very easily done with
- 6:34Quinn or other models as well. So, that
- 6:36was a quick demo. I've done a bunch of
- 6:38different you know, I've done a lot of
- 6:40demos on how Jarvis works. You guys can
- 6:44check out my previous videos in my
- 6:45channel to see I mean, right now he has
- 6:47a ton of different features, right? I
- 6:50can interact with them just by my hands
- 6:52and stuff using hollow hands here.
- 6:55I can
- 6:57he can make phone calls on my behalf. I
- 6:59can call
- 7:00I can call him directly as well. I can
- 7:03interact with them via text, via
- 7:04Telegram, and so much more. So, like I
- 7:07said, if you're interested in checking
- 7:08out all of the functionalities of
- 7:09Jarvis, check out my previous videos
- 7:12there. All right. So, that was kind of a
- 7:13quick demo. Now, let's go ahead and jump
- 7:15in and talk about
- 7:17the different
- 7:19machines or the different hardware that
- 7:21you
- 7:22can set up and what type of models you
- 7:24run in. So, what I'm going to do is
- 7:26focus on Mac Mini or Mac Studio and then
- 7:29on the Prompt Pack, I also have guide on
- 7:33oops. I have a guide on
- 7:35Windows machine using Nvidia card or
- 7:38Ryzen or if you have for instance, the
- 7:41Nvidia Spark, right? That's a powerful
- 7:43machine there. So, there's lots of
- 7:45information there for you guys to check
- 7:46out. But, in this particular example,
- 7:49I'm just going to quickly talk about the
- 7:50Mac Mini and Mac Studio because these
- 7:52are a good representation of what kind
- 7:55of the smaller version of a machine a
- 7:57local machine that people have like a
- 7:59Mac Mini or a MacBook Pro like it's kind
- 8:01of have the same type of configuration.
- 8:03And then a Mac Studio which is a very
- 8:05very powerful machine, right? So, I'm
- 8:07going to compare these two and talk
- 8:08about the unified memory and which
- 8:10models run best on what type of
- 8:12hardware, and then you can make a
- 8:14decision on which route you want to go
- 8:15to. All right, so the Mac Mini and Mac
- 8:18Studio, all of these specs are pulled
- 8:19directly from apple.com, so you guys can
- 8:22check out their website. But
- 8:23essentially, what I want to focus on the
- 8:24two most important things is
- 8:27uh the local storage and then most
- 8:30importantly, the unified memory, right?
- 8:32This is going to be the main thing here
- 8:34that we're going to focus on because
- 8:36that's what determines what kind of a AI
- 8:37model you can run locally on the
- 8:39machine, the latency, and how fast that
- 8:42interaction occurs between you and your
- 8:45personal AI assistant. As you saw uh in
- 8:48my demo that you saw earlier, the
- 8:50latency is very low because I have a
- 8:51very powerful Mac. So, therefore, yours
- 8:54might be different depending on what
- 8:56you're running. So, if you have like a
- 8:57Mac Mini, the latency might be a little
- 9:00uh a little longer, so it's not going to
- 9:02be as natural, but it's still going to
- 9:03be pretty good enough. But if you have
- 9:05like
- 9:05Apple 5 or Apple M5 Ultra like a Studio
- 9:09with the Apple M5 Ultra chip, then the
- 9:12interaction is going to be exactly or
- 9:14similar to mine there as well.
- 9:16All right, so the Apple Mini, the M6
- 9:18chip right here, right now by default,
- 9:21it has 32 GB of unified memory, and then
- 9:24the uh Mac Studio, it could go up to 256
- 9:29GB of unified memory, which is
- 9:31absolutely insane. If you get this
- 9:34particular uh Mac Studio, you can
- 9:37essentially run any uh model, any
- 9:40open-source model, right? As I mentioned
- 9:42right here, unified memory is the whole
- 9:44game. And specifically on Mac, right?
- 9:46The good thing about the Mac Studio and
- 9:48the Mac software itself is the Mac
- 9:49machine itself is that
- 9:51uh the CPU and the GPU and the neural
- 9:53engine, they all share the same memory,
- 9:56which means that an AI model that you
- 9:59download and run, it has to fit in that
- 10:02pool to run it run all of it, right?
- 10:03because the bigger the pool is,
- 10:05obviously, the bigger the brain will be
- 10:07for your AI assistant like Jarvis. So,
- 10:09for instance, for a Mac Mini, that the
- 10:11fact that it has 32 GB of unified memory
- 10:15>> [snorts]
- 10:15>> uh compared to like a Mac Studio, which
- 10:17is eight times more, you can get up to
- 10:18256 GB of memory. You can think of the
- 10:21rule of thumb as for a model
- 10:24uh about points so
- 10:260.6 GB per billion parameters. You can
- 10:29think of it that way, right? So, if you
- 10:31have a 27 billion parameter model, then
- 10:35what you do is you just basically
- 10:36multiply that by 0.6, and that's the
- 10:39machine you end up with. So, let me
- 10:40explain a little further here. So, here
- 10:43are the models open-source models that
- 10:46uh run really well on Mac Mini and then
- 10:49also on Mac Studio. So, for the Mac
- 10:51Mini,
- 10:52if you have the 32 GB of unified memory,
- 10:56you can run something like Qwen 3.8 27
- 10:59billion parameters pretty comfortably,
- 11:01right? Uh models like Gemma 4, the 26
- 11:04billion parameters, uh the GPT-OSS
- 11:0720 billion parameters, or these 12
- 11:09billion 9 billion parameters, these are
- 11:11very comfortably run on a Mac Mini or a
- 11:13MacBook Pro. But, if you want to run a
- 11:16bigger model, right? So, something like
- 11:18a Qwen 3.8 Flash, which is 125 billion
- 11:21which is a 125 billion parameter model,
- 11:24then you need something like a Mac
- 11:25Studio that has a unified memory of 256
- 11:29GB or, like I said, if you want to run
- 11:31something like a 70 billion parameter
- 11:33model, uh you can get a Mac Studio with
- 11:35128 GB. And of course, the higher the
- 11:38unified memory, the more the cost is
- 11:40going to be. And this is something that
- 11:41you guys can compare on your own Mac uh
- 11:43on on apple.com, depending on where you
- 11:46are. Let's say if you're in the US or
- 11:47Canada or Europe, the prices are going
- 11:49to change. So, you can go ahead on
- 11:51apple.com, go to Mac Studio, and then
- 11:53pick the exact unified memory that you
- 11:56want, and then based on that, you will
- 11:58see the uh the price change there. But,
- 12:00essentially, like I said, if you get the
- 12:02256 GB unified memory, you can run
- 12:04majority of the models. And the great
- 12:06thing is you can always combine, so you
- 12:07can get two Mac Studios if you want to
- 12:09run like a three uh 1 trillion parameter
- 12:11model, right? And then as far as the
- 12:14um
- 12:15the
- 12:16uh storage itself, the storage you don't
- 12:18have to have that much storage. I mean,
- 12:19the Mac Studio automatically comes with
- 12:21a 1 TB of storage. And the good thing
- 12:24about storage is you can always get an
- 12:25external hard drive, right? So, that's
- 12:27not that big of a deal big deal. The
- 12:29biggest deal is or the biggest um factor
- 12:31for uh local machine or running locally
- 12:35uh these AI models is your unified
- 12:37memory. So, that's going to be the main
- 12:38focus if you want to run a bigger uh
- 12:41model there. So, like I said, all of
- 12:43these details I just wanted to go over
- 12:45it so that way you guys can see
- 12:47uh
- 12:48which model fits your need. But like I
- 12:49said, all of this information and
- 12:52details I've explained here uh and
- 12:54exactly which model is going to run um
- 12:58really well on uh which particular
- 13:00machine there. Okay? So, like I said,
- 13:02you guys can check this out. And by the
- 13:04way, to gain access to this, uh so this
- 13:06is there's going to be two links in the
- 13:07description in the comments the first
- 13:09comment. The first one is going to be to
- 13:11the AI Workshop community. The second
- 13:13one is going to be to this free
- 13:15community. It's called AI Workshop
- 13:16Light, right? So, AI Workshop Light.
- 13:19Just go ahead and click on the second
- 13:21one. It's a completely free community.
- 13:23Uh once you click on join, you're going
- 13:24to you're going to come to the community
- 13:26right here. You're going to go to the
- 13:27classroom section. You're going to click
- 13:29on YouTube resources. And you'll have
- 13:31you'll have access to that uh prompt
- 13:35pack right there. They'll give you all
- 13:36of the guides including the prompts on
- 13:39how to build your own Jarvis cuz I have
- 13:41included the prompts right here.
- 13:44Where did it go? There you go. So, the
- 13:46Galaxy the brain and a bunch of other
- 13:48ones so that way you can uh build your
- 13:50own type of Jarvis. But of course, if
- 13:51you want to have the finished Jarvis
- 13:54like mine here that you see everything
- 13:55is already set up and pretty. I mean,
- 13:57this took me like 3 months to build.
- 13:59That's going to be inside the paid
- 14:00community. That's going to be the first
- 14:01link. So, click on that. It's called AI
- 14:03Workshop. This is a paid community. Once
- 14:05you come here, all you have to do is go
- 14:07to the classroom section. And then we're
- 14:09right now on version uh 8. version 8.1.
- 14:12So, all you have to do is just download
- 14:14the zip files for your machine and you
- 14:16can run it up you can run it in like 5
- 14:18minutes or so. The setup is pretty
- 14:19simple. But like I said, if you want if
- 14:21you don't want to pay or join the paid
- 14:23community, uh you can
- 14:25uh essentially create this from scratch
- 14:27using that prompt pack guide. Now, as
- 14:30far as the models, how to download the
- 14:32models, all you have to do is just go to
- 14:34Ollama. So, just go ahead and create a
- 14:35free account and you click on
- 14:38get started, go to models and here you
- 14:41can search what a model. So, for
- 14:42instance, a Quin, right? You can search
- 14:44the entire Quin family of models. So,
- 14:46you can see Quin 3.5 gives you all of
- 14:49the the
- 14:50multiple billion parameter models that
- 14:52you can access to so that anywhere from
- 14:540.8 billion parameters, which is a very
- 14:56small model, all the way to 122 billion
- 14:59parameter model, right? So, this is
- 15:00something that's going to need to be the
- 15:02Mac Studio
- 15:04uh world or if you're using like Nvidia
- 15:06um a spark or something like that or a
- 15:09powerful Windows machine uh with lots of
- 15:12graphic cards. So, that's where you can
- 15:14uh
- 15:14download these bigger models. But to
- 15:16download it is very very simple.
- 15:17Whatever model you choose, right? Scroll
- 15:19down to the bottom right here. So, let's
- 15:21say you want to choose this
- 15:24um 9 billion parameter model. So, all
- 15:26you have to do is click on that and then
- 15:27on your terminal just copy this command
- 15:29right here, right? So, uh oh to run that
- 15:32and to install it all you do is just
- 15:34Ollama pull and the name of the model.
- 15:36Again, all of this is inside the prompt
- 15:39pack I've given you guys. So, if you
- 15:40just go right here,
- 15:43yeah, so in case you don't remember,
- 15:46there all you have to do is just do
- 15:47Ollama pull Quin 3.5 9 billion parameter
- 15:50and then you do Ollama run. If you want
- 15:52to like run it to test it, right? Same
- 15:54thing the um the command is the same
- 15:57exact way. So, you can do Ollama pull
- 15:59and then the name of the model. So,
- 16:00since this is Quin 3.5 9 billion, so
- 16:03let's say you want to download like the
- 16:0627 billion one, right? So, if I go to
- 16:08the bottom here, oops, let me go back
- 16:10here.
- 16:13You click on the 27 and you just copy
- 16:15this and keep everything else the same.
- 16:18So, very very simple there. So, that's
- 16:19how you run the
- 16:22That's how you download the local
- 16:23models. And then as far as the cloning,
- 16:26so this is a voice studio, right? This
- 16:28is an open-source software
- 16:30that you can actually clone a voice,
- 16:32design your own voice, transcribe, like
- 16:34a really good software that's completely
- 16:36open-source. So, all you have to do is
- 16:38just search voice studio.
- 16:42There you go. And you just click on this
- 16:43one, free open-source voice cloning and
- 16:45dubbing.
- 16:46And this is exactly how you can grab And
- 16:48by the way, just
- 16:49if you want to just go to the GitHub,
- 16:51it's probably simpler. So, you just go
- 16:53to GitHub, click on this one. And if you
- 16:55scroll down to the bottom,
- 16:59all you have to do is just copy Where
- 17:01did it go? Where is the installation
- 17:02here?
- 17:04Oh, here. You choose your machine. So,
- 17:07if you just click on this, it will show
- 17:09you exactly what to do to install.
- 17:11Again, same thing. I've added this on
- 17:15this prompt back as well for you guys to
- 17:17just be able to just copy and paste this
- 17:19here. Okay, so that's how you can
- 17:20download the models and then also the
- 17:23voice cloning there. And essentially,
- 17:25that's pretty much it. You don't need
- 17:26anything else after that, right? You
- 17:29download the models that you need. Of
- 17:31course, the first thing is buying the
- 17:32machine or whatever machine you have.
- 17:34And then afterwards, you download the
- 17:35local models and then download the voice
- 17:38cloning
- 17:40software and then
- 17:41pretty much it, right? The rest, if you
- 17:43want to build your own, like I said,
- 17:44follow the free prompt back here. Use
- 17:46these prompts to build your own Jarvis
- 17:48or like I said, if you want to be lazy,
- 17:51just go ahead and join the paid
- 17:53community so that way you can pick up
- 17:55Jarvis
- 17:57with this zip file right here. And of
- 17:58course, if you run into any issues,
- 18:01we have a ton of people in this amazing
- 18:03community of ours. You can post your
- 18:04questions. We can answer right away. And
- 18:07by the way, like a lot of my community
- 18:09members are now building their own
- 18:11versions of Jarvis. Somebody just landed
- 18:13their first client selling Jarvis to
- 18:15somebody. So, lots of great things
- 18:17happening there if you want to check
- 18:18that out. Anyways, well, hopefully you
- 18:20find you guys found that helpful. Let me
- 18:21know if you have any questions in the
- 18:22comments below. Make sure you like,
- 18:24subscribe. Thanks for watching and I'll
- 18:25see you on the next one.
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Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.
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YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.