Deploy Your Private Llama 2 Model to Production with Text Generation Inference and RunPod

Interested in Llama 2 but wondering how to deploy one privately behind an API? I’ve got you covered!

In this video, you’ll learn the steps to deploy your very own Llama 2 instance and set it up for private use using the RunPod cloud platform.

You’ll learn how to create an instance, deploy the Llama 2 model, and interact with it using a simple REST API or text generation client library. Let’s get started!

Join this channel to get access to the perks and support my work:

00:00 - Introduction
00:53 - Text Tutorial on MLExpert
01:09 - Text Generation Inference Library
02:34 - What is RunPod?
04:16 - Google Colab Setup
05:03 - Deploy Llama 2 7B Chat
08:13 - Rest API UI (Swagger)
09:26 - Prompt Template for Llama 2
11:20 - Prompting our Model with an API Call
14:40 - Text Generation Client with Streaming
16:12 - Terminate the Server
16:32 - Conclusion

Image by storyset

#chatgpt #promptengineering #chatbot #llama #artificialintelligence #python #huggingface

[nini_dev]

Thanks for sharing an informative document. It really helps a lot!!

[Danielbg]

Great video, very informative!
I was wondering how would I give the pod my huggingface API Key in order to use gated models, as you mentioned in the video.
Keep up the good work!

[brianm]

Thank you so much for the video.
I am new to this RunPod service so I am not too sure how to calculate the total cost indeed.
Does it charge by the stoage of your LLM model and the computing time everytime a request is made?
Or charge by the amount of time when the pod is running, no matter a request is made or not when the pod is running?

[romainjouhameau]

very cool ! I learned quite a few tricks, thanks
do you know how we could call a model already downloaded inside of our workspace ? so that we don't have to download the models again and again

[myspam]

Thank you for your interest in using Llama 2. Unfortunately, you do not meet the criteria to obtain a license at this time.

[DawnWillTurn]

I was trying to use Qlora to fine tune Llama2 but has trouble to push it on hugging face. It gave me error code when I trying to unload the model and merge

[islamicinterestofficial]

Thanks for the video. I'm planning to deploy Vicuna-33B model. Can I deploy this on Runpod? If yes, how much RAM should I use estimated for GPU? Your reply will be highly appreciated

[hocklintai]

I followed the script exactly. However, the generated swagger link don't work. There was no error, but the generated link don't lead to anywhere. I think because of this, the response.status_code later in the script becomes 404. Could there be a problem with runpod api?

[hirish]

I was unable to get it working with CodeLlama 2. I am getting error while run pod downloads safe tensors -> text_generation_launcher: An error occurred while downloading the model safe tensors using `hf_transfer`.

[hozewrl]

how we can use using the adapter model

[Ryan-yjsd]

Is it possible to do batch requests, where I could run many calls at the same time? I want to run 5mm prompts.

[deeplearning]

How about protecting the API with some token or bearer or key? Probably we wouldn't deploy such an endpoint completely open.

[sathvikreddy]

hey there,
how do I create a generative AI chatbox with my own data?
let us say I have data regarding a company and I want to create a "chatgpt" kinda thingy which can answer the questions which I have related to that data
I have juggled through the internet today and found
1) Data collection
2) Data preprocessing
3) Selecting a pre trained model(cause it is easy than creating one)
4) Fine tuning the model
5) Iteration

This is my understanding as of now
so basically how do I have preprocess the data?
do I have to learn NLP for that?

[clear_lake]

How much is it to run this (estimated per month)?

[narkomart]

What a pity that in my country the Meta company has banned the use of Lama 2.

[Ryan-yjsd]

Isn't this very expensive to run?

[chukypedro]

You are skipping the payment part in the deployment