Deploy and Use any Open Source LLMs using RunPod

In this comprehensive tutorial, I walk you through the process of deploying and using any open-source Large Language Models (LLMs) utilizing RunPod's powerful GPU services. If you're intrigued by the potential of generative AI and looking for affordable ways to work with LLMs without the hassle of managing heavy infrastructure, this video is tailor-made for you. I cover the basics of serverless computing, the necessity of high GPU VRAM for running LLMs, and demonstrate how to create GPU instances in the cloud specifically for language model tasks. You'll learn how to efficiently allocate GPU VRAM based on the size of the LLM you're working with, leveraging RunPod's diverse range of GPUs. The tutorial includes a practical demonstration using a user-friendly template that simplifies deploying and interfacing with LLMs through a text generation web UI. Whether you're a novice eager to dive into the world of LLMs or a seasoned developer looking to optimize your workflow, this guide offers valuable insights and tips on making the most out of RunPod's offerings.

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[subhashinavolu]

You have helped me a lot. I implemented a lot of what I learned from you. I improved your models to build knowledge graph. I want to thank you again for

[deepaksingh]

Really love all the content you create on LLM..

[navanshukhare]

really informative video and love your content on LLM

[marianosebastianb]

Hi there! I really enjoyed the video – great content! I ended up opting for RunPod to deploy a basic PyTorch template. I used the shell to install Ollama and was pleasantly surprised to find that I could run multiple models on the same GPU. This has me wondering: does anyone know if it's possible to achieve the same functionality using any of the available UI tools? I'm keen to explore more streamlined options if they exist. Thanks in advance for any insights!

[mohammedtaher]

This video was quite helpful :) would you also consider making a tutorial on deploying custom models on runpod serverless architecture e.g. fine-tuned models like Llama or Flan-t5-base. I am keen on using their serverless feature. Thanks again :)

[kylelau]

I was so I was a little confused, The url that you collected from runpod, Which show you the chat history and fine-tuning interface, is this a public url? or is it localhost?

[Larimuss]

Any new template that install text gen ui 1.21 and all the cuda drivers etc? Most of these templates do not work anymore and dont install the needed transformers.

[VijayDChauhaan]

What is the easiest way to integrate chat in angular application

[abhishektiwari]

Hi, i am trying to deploy my own finetuned mostral model on runpod, but facing lots of issuse can you help me out ??

[xhigqqj]

how do you turn off thpod when finished?

[kylelau]

I wonder can I upload my customed LLM as endpoint instead of using all the popular one?

[SonGoku-pcjl]

thanks! interruptions is delay o is error not found? ;) diference praises :) maybe 16 users simultany max or 1? please force dark mode in webs ;) jeje thanks XD If you turn off the volume so you don't get charged, do they charge you for the charging time later? ;) And if you use it for 10 minutes a day and turn it off, don't they charge you 1 hour every time you start it up?

[acidrain]

instead of pods can u make a video on serverless on runpod?

[dasigiraghu]

bloke template is not working properly