FREE Local LLMs on Apple Silicon | FAST!

Step by step setup guide for a totally local LLM with a ChatGPT-like UI, backend and frontend, and a Docker option.
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Repo
github.com/open-webui/open-webui
Docs
docs.openwebui.com/
Docker Single Command
docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main
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#machinelearning #llm #softwaredevelopment

[@camsand6109]

This channel is the gift that keeps on giving.

[@isaquehg]

I really appreciated your approach showing "behind the scenes" instead of just running Docker. Great video, as always!

[@JosepCrespoSantacreu]

Another great video Alex, I really enjoy your videos. And I really appreciate your perfect diction in English, which makes it easy to follow your explanations even for those who do not have English as their first language.

[@asnifuashifj91274]

Great video Alex! yes please make videos on image generation!

[@AC-cg6mf]

I really like that you showed the non-docker install first. I think too many rely on docker black-boxes. I prefer this. Thanks!

[@philipo1541]

Dockers are not a black-box. You can get it in them, and change stuff!!!

[@veccio]

Respectfully, Docker need not be a black box. Don’t be afraid to tinker and dig in. :) But I get how doing it manually forces you to touch different parts.

[@brunosanmartin1065]

These videos are so exciting for me; this channel is the number one on KZbin. That's why I subscribe and gladly pay for KZbin Premium. A hug, Alex!

[@AZisk]

thanks for saying! means a lot

[@RealtyWebDesigners]

Now we need 1TB MEMORY DRIVES (Like the Amiga used to have 'fast ram' )

[@MrMrvotie]

@@AZisk Is their any chance you could incorporate a PC GPU Relative Performance Equivalence to each new apple silicon microchip that you review?

[@aldousroy]

Awesome thing waiting for more videos on the way

[@3monsterbeast]

This channel is going to be growing so fast; you make great videos that are very helpful!

[@gustavohalperin]

Great video!! And yes, please add a video explaining how to add the images generator.

[@AaronHiltonSPD]

Amazing tutorial. Great stuff!

[@AZisk]

Thank you! Cheers!

[@ChrisHaupt]

Very interesting, will definitely be trying this when I get a little downtime!

[@Ginto_O]

Thank you, got it to work without docker

[@7764803]

Thanks Alex for videos like this 👍 I would like to see Image generation follow up video 😍

[@ReginaldoKono]

Yes Alex, you will help us more if we could learn with you how on how to add an image generator as well. We thank you for your time and colaboraron. Your channel is a must have subscription in it now-a-days.

[@kaorunguyen7782]

Alex, I love this video very much. Thank you!

[@cstenger]

I like the manual installation process because it uses less resources than having docker running all the time on your mac. thanks for the tutorial, I really enjoyed doing it and seeing how it works.

[@sungm2n]

Amazing stuff. Thank you

[@mrdave5500]

Woot woot! great stuff. Nice easy tutorial and I now have a 'smarter' Mac. Thanks :)

[@johnsummers7389]

Great Video Alex. Thanks.

[@AZisk]

Glad you liked it!

[@moranmono]

Great video. Awesome 👏

[@ilkayayas]

Nice. Image generation and integrating new chatgpt in to this will be great.

[@guyguy467]

Thanks! Very nice video

[@AZisk]

Wow! Thank you!

[@loveenjain]

Excellent Video giving it a try tonight on my M3 Max 14 inch model and see what are the results will share probably...

[@sikarinkaewjutaniti4920]

Thx for sharing good stuff for us. Nice onec

[@BenjaminEggerstedt]

This was interesting, thanks

[@vadim487]

Alex, you are awesome!

[@OrionM42]

Thanks for the video.😊😊

[@marcel948]

Excellent video! Keep up!

[@bvlmari6989]

Amazing video omg, incredible tutorial man

[@AZisk]

Glad you liked it!

[@iv4sik]

if ur trying docker, make sure it is version 4.29+, as host network driver (for mac) revealed there as a beta feature

[@DaveEtchells]

I was gonna spring for a maxed M3 Max MBP, but saw rumors that the M4 Max will have more AI-related chops, so just picked up a maxed M1 Max to tide me over 😁 Really excited about setting all this up, finding this vid was very timely, thanks!

[@erenyeager655]

One thing for sure... I'll be implementing this on my menu bar for easy access :D

[@jorgeluengo9774]

by the way, I just joined your channel, I really enjoyed these videos, very helpful, thanks!

[@AZisk]

awesome. welcome!

[@soulofangel1990]

Yes, we do.

[@mendodsoregonbackroads6632]

Yes I’m interested in an image generation video. I’m running llama3 in Bash, haven’t had time to set up a front end yet. Cool video.

[@gligoran]

Amazing video! I'd just recommend Volta over nvm.

[@keithdow8327]

Thanks!

[@AZisk]

Wow 🤩 thanks so much!

[@AzrealNimer]

I would love to see the image generation tutorial 😁

[@Meet7]

thanks alex

[@WokeSoros]

I was able to, by tracking down your Conda video, get this running. I have some web dev and Linux experience, so it wasn’t a huge chore but certainly not easy going in relatively blind. Great tutorial though. Much thanks.

[@Dominickleiner]

instant sub, great content thank you!

[@AZisk]

Welcome aboard!

[@agnemedia624]

Thanks 👍🏻

[@dibyajit9429]

I've just started my career as a Data Scientist, and I found this video to be awesome! 🤩🥳Could you please consider making a video on image generation (in LLama 3) in a private PC environment?🥺🥺

[@haralc]

Oh you got distracted! You're a true developer!

[@LucaCilfoneLC]

Yes! Image generation, please!

[@RealtyWebDesigners]

BTW - One of the BEST programmer channels!

[@AdityaSinghEEE]

Can't believe, I found this video today because I just started searching for Local LLMs yesterday and today, I found the complete guide. Great video Alex :)

[@scorn7931]

You live in Matrix. Wake up

[@Daydream_Dynamo]

Please do a video about image generation!!

[@ontime8109]

thanks!

[@willmartin4715]

i believe my laptop has 80 Tensor cores. for starters. This looks like a really good shift for a fri night! thanks.

[@akhimohamed]

As a game dev, this is so good to have. Btw am gonna try this on parallels for my m1 pro

[@Lucas-fl8ug]

You mean in windows through parallels? why would it be useful?

[@shapelessed]

YO! Finally hearing of a big Svelte project! Like really, it's so much quicker and easier to ship with Svelte than others, why am I only seeing this now?

[@AZisk]

Svelte for the win!

[@precisionchoker]

Well.. Apple, Brave, New York times, IKEA among other big names all use svelte

[@shapelessed]

​@@precisionchoker But they do not acknowledge that too much..

[@innocent7048]

Here you have a super like - and a cup of coffee 🙂

[@AZisk]

Yay, thank you! I haven't been to Denmark in a while - beautiful country.

[@lucerocj]

Would love to see an extended video on working with local files for this option.

[@XinYue-ki3uw]

i like this tutorial, it is computer dummy friendly~

[@filipjofce]

So cool, and it's free (if we don't count the 4 grands spent for the machine). I'd love to see the images generation

[@youssefragab2109]

This is really cool, love the channel and the videos Alex! Just curious, how is this different to an app like LM Studio? Keep up the good work!

[@yuanyuanintaiwan]

My guess is that this web UI has more capabilities such as image generation which LM Studio doesn’t have. If the goal is simply to have text interaction, then I agree that this may not be necessary

[@davidgoncalvesalvarez]

My M1 Mac 16GB be real frightened on the side rn.

[@blackandcold]

I ran 7b variants no problem on my now sold m1 air 16g

[@ivomeadows]

got macbook with the same specs. tried to run 15b starcoder2 quantized k5m in LM studio on it, max GPU layers, getting me around 12-13 tokens per sec, not good but manageable

[@RobertMcGovernTarasis]

Don't be, unless you are using other things that are super heavy as well. Llama3 8B(?) takes up about 4.7GB of Ram, with the Silicon's event use of the Nvme and Swap you'll be fine. (I prefer using LM Studio now to Ollama as it has CLI and Web built in, no need for Docker/OrbStack but, Ollama on its own without a WebUI works too)

[@martinseal1987]

😂

[@DanielHarrisCodes]

Great video. What format are LLM models download as? Looking into how I can use those downloaded with OLLAMA with other technologies like .NET

[@Raptor235]

Great video Alex, is there anyway to have an LLM execute local shell scripts to perform tasks?

[@erwintan9848]

Is it fast on mac m1 pro too? How many storage used for all instalation sir? Your video is awesome!

[@jakubpeciak429]

Hi Alex, I would like to see the image generation video

[@pixelplay1098]

Amazing stuff as Usual. Now make a tutorial on Automatic 1111

[@Mikoaj-ie6gt]

very intresting

[@MohammedAraby]

Well be happ to see a tutorial for automatic 1111 ❤

[@ashesofasker]

Great video! So are you saying that we can get ChatGPT like quality just faster, more private and for free by running local LLM's on our personal machines? Like, do you feel that this replaces ChatGPT?

[@yianghan751]

Alex, excellent video! Can my MacBook air m2 with 16G RAM host these AI engines smoothly?

[@zorawarsingh11]

Yes do images please 🙏🏻

[@cjchand]

Just some food for thought for future vids: Anaconda's licensing terms changed to require any org > 200 employees to license it. For this reason, many Enterprises are steering their devs away from Anaconda. Would be helpful if the tutorials used "vanilla" Python (e.g.: venv) unless Conda were truly necessary. Thanks for the vids and keep up the great work!

[@AZisk]

good to know. thanks

[@MW-mn1el]

I use Ollama with Continue plugin with VSCode. And Chatbox GUI when not code related. Work well with both Mac and Linux with Ryzen 7000 CPU. On linux it's running in a podman(docker) container. But best experience is with MacBook Pro, apple silicon and unified memory make it speedy.

[@travelchoice89]

🚀 Excited to dive into this video! Local LLMs on Apple Silicon for FREE? That's a game-changer! Let's see just how FAST these optimizations are! 🍏💻

[@matteobottazzi6847]

A video on how you could incorporate these LLMs in your applications would be super interesting! Let's say that in your application you have a set of pdfs or html files that provide documentation on your product. If you let these LLMs analyse that documentation, then the user could get very useful information just asking and not searching through all of the documentation files!

[@FelipeViaud]

+1

[@neoqe6lb]

Ollama has api endpoints that you can integrate in your apps. Check their documentation.

[@113bast]

Please show image generation

[@thevirtualdenis3502]

Thanks ! Is Macbook air enough for that?

[@kdnz_music]

Just install LM Studio and get any model and good native ui in a couple clicks

[@gayanperera7273]

Thanks @Alex, by the way is there a reason it can only use GPU, any reason not taking advantage of NPUs ?

[@toddbristol707]

Great channel! I just did a build something similar with lm studio and flask based web ui. I’m going to try this method now. Btw, what was the ‘code .’ command you ran? Are you using visual studio code? Thanks again!

[@AZisk]

Thanks! and thanks for joining. I did the flask thing a few videos ago, but it's just another thing to maintain. I find this webui a lot more feature rich and better looking. And yes, the 'code .' command just opens the current folder in VSCode

[@AIandVisuals]

Great video. Congrats. But how to install node? Would it not work with a Python front end?

[@jehad4455]

Mr. Alex Ziskind Could you clarify whether training deep learning models on a GPU for the Apple Silicon M3 Pro might reduce its lifespan? Thank you.

[@OlegShulyakov]

When there will be a video to run LLM on an iPhone or iPad? Like using LLMFarm

[@reyaustineechavez9600]

This hungs up my M1 Air everytime I gave a prompt Lol

[@99cya]

Hey Alex, would you say Apple is in a very good position when it comes to AI and the required hardware? So far Apple has been really quiet and lots of ppl dont think Apple can have an edge here. Whats your thought in general here?

[@cookiebinary]

Tried llama3 on 8GB ram M1 :D ... I guess I was too optimistic

[@FaysalBDev]

lets do some image generation please it would be super helpful

[@rickymassi]

Why not doing a deployment with Electron, so you have a desktop application. Btw I love this thing!!!

[@tyron2854]

What about a new M4 iPad Pro video?

[@uwegenosdude]

Thanks for the video. I tried to download the code companion. Do you know why when the download of this LLM is going on, happens an upload of a couple of GBytes?

[@engr.hashimali758]

Hi Alex, I really appreciate your work, can you please sugggest me any model where I need a detailed summary and breakdown of quantities from this construction PDF drawings. Which organize the quantities by type (linear feet, square feet, each) and categorize them by division (e.g., General Requirements, Sitework). Waiting for your response!

[@ToddyIvon]

just setup my last night

[@nimahakimi597]

My bro. 9k views 1k likes. Beautiful ❤

[@RealtyWebDesigners]

Best channel for REAL computer users - Others are just, look how fast I can compile 'VIDEOS' about doing 'videos' - Retards.

[@joaquincaballero4353]

Image generation video please

[@truenetgmx]

now benchmark it vs mac air :) also wonder how much these are usefull tools and not just toys

[@MeinDeutschkurs]

Without a mug, I could not do all of this. Nice to see that you also need a mug while doing all of these tasks. 🎉 #adictedTOmugs

[@AZisk]

So true!

[@MeinDeutschkurs]

@@AZisk 😆🤗 yeah!

[@thetabletopskirmisher]

What advantage does this have over using LM Studio that you can install directly as an app instead of using the Terminal? (Genuine question)

[@rajvanshmalhotra931]

Hey I have mac m2 normal one I want to use it for ml and dl is it possible to use it ? The normal way or should I do all my work on colab ?

[@bisarothub1644]

Great video. But I think Jan AI is a lot easier to configure and setup for mac users

[@jorgeluengo9774]

Thank You Alex, amazing video, I followed all steps and I enjoyed the process and the results with my m3 max. I wonder if there is a GPT that we can use from the laptop and have searches online since the cutoff knowledge date of these models seem to be over a year ago or more. For example when I ask questions of what is the terraform provider version for aws or other type of platform, is old and there is a potential to have deprecated code responses. What do you recommend in this case? not sure if you have already a video for that lol.

[@AZisk]

that’s a great question. you’ll need to use a framework like flowise or langchain to accomplish this I believe, but i don’t know much about them - it’s on my list of things to learn

[@jorgeluengo9774]

@@AZisk makes sense, I will do some research about it and see what I can find out to test but I will look forward when you share a video with this type of model orchestration, will be fantastic.

[@motocar1585]

how to do it with docker and also can i live this host it on vercel or netlify ??

[@ChiliadStudios]

please make a video on how to run huggingface models on this thing. i cant for the life of me figure it out. such a headache

[@AlexLaslau]

MBP M1 Pro with 16GB of RAM would be enough to run this?

[@swapwarick]

I am running llama, code Gemma on my laptop for local files intelligence. It's slow but damm it reads all my PDFs and give perfect overview

[@devinou-programmationtechn9979]

Do you do it through ollama and open webui ? I m curious as to how you can send files to be processed by llms

[@ShakeAndBakeGuy]

@@devinou-programmationtechn9979 GP4All works fairly well with attachments. But I personally use Obsidian as a RAG to process markdown files and PDFs. There are tons of plugins like Text Generator and Smart Connections that can work with Ollama, LM Studio, etc.

[@TheXabl0]

Can you describe this “perfect overview”? Just curious what you mean by

[@swapwarick]

Yes running open webui for llama and code Gemma llms on windows machine. Running open webui on localhost gives textarea where you can upload the file. The upload takes time. Once it is done, you can ask questions like give me an overview of this document, tell me all the important points of this document etc

[@TheChindoboi]

Gemma doesn’t seem to work well on Apple silicon