How To Install Any LLM Locally! Open WebUI (Ollama) - SUPER EASY!

In this tutorial, we'll walk you through the seamless process of setting up your self-hosted WebUI, designed for offline operation and packed with features to enhance your AI experience.
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[Link's Used]:
Open WebUI Github Repo: github.com/open-webui/open-webui
Open WebUI Docs: docs.openwebui.com/
Pinokio Install: pinokio.computer/
Ollama Download: ollama.com/download
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Local RAG Integration:
Discover the groundbreaking Local RAG Integration feature, revolutionizing chat interactions by seamlessly integrating Retrieval Augmented Generation (RAG) support. Dive into the future of information retrieval and interaction as we explore its implications for document interaction within conversations.
Code Syntax Highlighting:
Developers rejoice! Our tutorial covers the importance of code syntax highlighting in enhancing readability within chat interfaces. Learn how this feature elevates the sharing and discussion of code snippets, ensuring clarity and comprehension in technical exchanges.
Full Markdown and LaTeX Support:
Unlock the power of comprehensive Markdown and LaTeX support, indispensable for technical discussions and document sharing. Enrich your interactions with formatted text, equations, and more, elevating the depth and versatility of your conversations.
Voice Input Support:
Experience the convenience of voice interactions with AI models through our Voice Input Support feature. Discover how hands-free interaction enhances accessibility and streamlines your AI experience with direct voice commands.
Fine-Tuned Control with Advanced Parameters:
For advanced users seeking precise control, delve into the realm of fine-tuned parameters. Learn how to tailor your conversation dynamics with adjustments such as temperature control, providing unparalleled customization for your specific needs.
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Additional Tags and Keywords:
#llm #OpenWebUI #ollama #ai #Tutorial #technology #programming #SyntaxHighlighting #VoiceInput #Markdown #LaTeX

[@intheworldofai]

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[@LifeAsARecoveringPansy]

You just dropped some gold by simply letting us know about pinokio, let alone the gem that is WebUI. Damn!

[@Sekhmmett]

Please show the possible approach on Android devices that have high capacity of high amount of RAM. There are one or two apps that promise this and they're pretty complex configuration. If you can kindly approach the platform, I will be extremely grateful.

[@tanrosa]

This is superb!! Thanks for sharing and explain things throughout. Looking forward to the benefits of it.

[@ideiasanonimas]

Awesome ! Best video .. thanks man

[@drkvaladao776]

Love it man. Subscribed for more!

[@ekselenUi]

Thank you so much!

[@tanrosa]

Thanks

[@intheworldofai]

Thank you so much! Really Appreciate it :)

[@876rr]

Great guide thanks

[@con.doriano5008]

Suppose im a civil engineer..Can i train it with my some books pdf?

[@marcokein9492]

Thank you! But why: Error: ENOENT: no such file or directory, lstat 'C:\Users\User\pinokio\api\open-webui.git\start.sh' when i do "Start" ?

[@joekustek2623]

Is there a way to just set it up on a website. Say you have your own full running webserver can you just install it that way without any 3rd party apps. For example just like running ollama locally but have it on a website?

[@HOLOGRAMYOUTUBE]

is it fast. i have rtx 2080 can it work

[@synchromatik]

i have old p1000 quadro and it works fine, just choose appropriate model.

[@touma-san91]

You can run these things even on 1060 if you wanted to. If you use GGUF (this is what LM Studio and Ollama use btw) it splits the load between your GPU and CPU so the larger modelsw will be painfully slow but might still work aslong you have enough RAM in your computer. Obviously it would be better to choose models that fully fit your GPU's VRAM though so you might need to stick with 7B or 13B models.

[@SamiSabirIdrissi]

Well damn.

[@Beauty.and.FashionPhotographer]

Grok?..i downloaded it,.... can this use GROK LLM ?

[@touma-san91]

Should be able to. Different story if your computer can handle it.

[@intheworldofai]

Cursor: Build Software with The AI-first Code Editor with a CoPilot! Better Than VS Code!: kzbin.info/www/bejne/gYOVcqOmjLB7fLc

[@user-hi8zq1qy1i]

Dummy proof thank god

[@intheworldofai]

[Must Watch]: OpenUI: Build UI Components Easily! Screenshot + Text-To-Code - AI Writes Code Itself!: kzbin.info/www/bejne/ep_Xk6aFg8R4Zq8si=TeXBIyV-kU9WrYh3 AI Simulation - Fully Autonomous NPCs - AGI Accomplished?: kzbin.info/www/bejne/lZO4lpKshNKlpJosi=hp0hB7Hz5wkGAYJh Introducing GPT-5? Mysterious GPT2-Chatbot Outperforms GPT-4!: kzbin.info/www/bejne/q2KZmqOJmr57bbcsi=5aOn8pjOAhKRVxDd

[@alecd8534]

Thanks Mate for your great video. What if I want my teammates access the LLMs as well? How can I do it? Do I need to deploy this set up on cloud, such as AWS EC2? PLease share your thoughts.