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HuggingChat Installation with aitom8 Plugin | Chat-UI + Inference Server + LLM

In this video you learn how you can install HuggingChat with just one command. All you need is aitom8 and the HuggingChat aitom8 Plugin.
We cover everything, the Chat-UI, the Text Generation Inference Server and the Large Language Models (LLM). But also the prerequisites like a MongoDB.
Chapters in this video:
0:00 - Intro and Explanation
01:05 - Overview HuggingChat Installation
01:51 - MongoDB Installation
02:24 - HuggingChat aitom8 Plugin
03:22 - Install HuggingChat with one command
05:46 - Run the Chat-UI
06:23 - Install the Text Generation Inference Server
07:11 - Run the Text Generation Inference Server
08:28- Outro
Video related links:
- ChatGPT - but Open Sourced | Running HuggingChat locally (VM): • ChatGPT - but Open Sou...
- Running HuggingChat locally (VM): www.blueantoinette.com/2023/0...
- AI automation with aitom8: • AI automation with ait...
- SSH into Remote VM with VS Code: • SSH into Remote VM wit...
- NVIDIA CUDA Installation on Debian 11: • NVIDIA CUDA Installati...
- aitom8 - AI Automation: www.blueantoinette.com/produc...
- HuggingChat aitom8 Plugin: www.blueantoinette.com/produc...
About us:
- Homepage: www.blueantoinette.com/
- Contact us: www.blueantoinette.com/contac...
- Twitter: / blueantoinette_
- Consulting Hour: www.blueantoinette.com/produc...
Hashtags:
#huggingchat #aitom8 #aiautomation

Пікірлер: 2

  • @SMCGPRA
    @SMCGPRA Жыл бұрын

    May be for developing country viewers pls let us know the system config needed for the installations

  • @BlueAntoinette

    @BlueAntoinette

    Жыл бұрын

    The system requirements depend on the variant you choose and the model you want to interact with. When you just want to run the Chat-UI but with a remote inference endoint there are no special requirements. However, if you also want to run the text-generation-inference server with the Open Assistant model (like in the video) on your (virtual) infrastructure, then you need powerful GPU(s). I show the infrastructure that worked for me in this video (variant 2): kzread.info/dash/bejne/d5ecyKWMppTPfrA.html