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what do I do after install the open assistant from git hub? #3676

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@CT1800098

I have no idea on what should I do to get the local version up and running after install it on my pc

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  1. drShivashankar commented on Aug 31, 2023

    @drShivashankar

    What do you want to work on?
    Backend
    Inference or
    Frontend

  2. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    what is the differece between them?

  3. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    What do you want to work on? Backend Inference or Frontend

    I sort of want to do what the web version does

  4. drShivashankar commented on Aug 31, 2023

    @drShivashankar

    The docs detail how you can setup and start backend on your local PC

    Create a venv
    Clone the repo and install the required libraries as guided in the backend readme file
    Make sure you have postgres and redis running
    Start the backend server using the script inside the backend directory
    ( Again, instructions in the readme file of the backend directory)

    Check documentation in your local machine at localhost:8080/docs

  5. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    The docs detail how you can setup and start backend on your local PC

    Create a venv Clone the repo and install the required libraries as guided in the backend readme file Make sure you have postgres and redis running Start the backend server using the script inside the backend directory ( Again, instructions in the readme file of the backend directory)

    Check documentation in your local machine at localhost:8080/docs
    So I just follow the instruction on the redme in the backend?

  6. stefangrotz commented on Aug 31, 2023

    @stefangrotz

    A small remark: unless you have a very powerful GPU you will be only able to run the website locally, but not the chat (=Inference).

  7. drShivashankar commented on Aug 31, 2023

    @drShivashankar

    what is the differece between them?

    Backend is to work on the open assistant web backend
    Front is to improve the UI for the same web
    Inference is to work on the LLMs

  8. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    A small remark: unless you have a very powerful GPU you will be only able to run the website locally, but not the chat (=Inference).

    how many VRM do I need?

  9. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    what is the differece between them?

    Backend is to work on the open assistant web backend Front is to improve the UI for the same web Inference is to work on the LLMs

    what is LLM?

  10. drShivashankar commented on Aug 31, 2023

    @drShivashankar

    what is the differece between them?

    Backend is to work on the open assistant web backend Front is to improve the UI for the same web Inference is to work on the LLMs

    what is LLM?

    The chat itself
    Large language models
    They have so many parameters you need more hardware like @stefangrotz said

  11. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    what is the differece between them?

    Backend is to work on the open assistant web backend Front is to improve the UI for the same web Inference is to work on the LLMs

    what is LLM?

    The chat itself Large language models They have so many parameters you need more hardware like @stefangrotz said

    how many VRM do I need to run?

  12. stefangrotz commented on Aug 31, 2023

    @stefangrotz

    For the 70b model you'll need 48GB VRAM.

    If you want to run models locally I recommend https://gpt4all.io/
    Its for language models that are optimized for consumer hardware and it is easy to use.

  13. CT1800098 commented on Aug 31, 2023

    @CT1800098
    Author

    For the 70b model you'll need 48GB VRAM.

    If you want to run models locally I recommend https://gpt4all.io/ Its for language models that are optimized for consumer hardware.

    is it censored or uncensored?

  14. locked and limited conversation to collaborators on Sep 5, 2023
  15. converted this issue into a discussion #3681 on Sep 5, 2023
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