Ever time i see a post like this i ask the same thing and i have yet to receive answer.
Why should i care?
There are so many open source language models, all with different strengths and weaknesses. There are tools to run them on any OS with all kinds of different hardware requirements.
This has been the case since before chatgpt came out and has exponentially blown up since.
Gpt4all is just a single recent model. But in recent weeks it always gets the headlight under “run chatgpt at home”
What does it do to stand out? Why would i use this and not one of the vicuna or llama models?
Hugging face has a leaderboard for open source large language models.
If you are interested in running this tech at home, familiarize yourself with multiple models because they all will behave differently depending on your hardware and your needs.
Its a collection of models you can download. It acts as a simple gui entry point into the llm world. Great to test different stuff.
Ever time i see a post like this i ask the same thing and i have yet to receive answer.
Why should i care?
There are so many open source language models, all with different strengths and weaknesses. There are tools to run them on any OS with all kinds of different hardware requirements.
This has been the case since before chatgpt came out and has exponentially blown up since.
Gpt4all is just a single recent model. But in recent weeks it always gets the headlight under “run chatgpt at home”
What does it do to stand out? Why would i use this and not one of the vicuna or llama models?
Hugging face has a leaderboard for open source large language models.
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
If you are interested in running this tech at home, familiarize yourself with multiple models because they all will behave differently depending on your hardware and your needs.
Its a collection of models you can download. It acts as a simple gui entry point into the llm world. Great to test different stuff.