airoboros VS chathub

Just wanted to drop a note that I overhauled the airoboros tool not the models to have most of the prompts I've been using to build the datasets, plus a couple extras.

airoboros: using large language models to fine-tune large language models (https://github.com/jondurbin/airoboros)

This is a fine-tuned LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros

I used airoboros, a python tool I wrote, to generate the synthetic instruction response pairs, and included a jailbreak prompt to attempt to bypass OpenAI censorship. This is the only dataset used to fine-tune the model.

This is a 7b parameter, fine-tuned on 100k synthetic instruction/response pairs generated by gpt-3.5-turbo using my version of self-instruct airoboros

GitHub Repo

Try ChatHub, it's a third party chatbot client which supports Bard, and have conversation history feature

ChatHub is an all-in-one chatbot client (https://github.com/chathub-dev/chathub/blob/main/README.md)

Try https://chathub.gg to find out.

ChatHub - Use ChatGPT, Bard, Bing & Claude in one app

Use ChatGPT, Bing, Bard, and Claude in one app with ChatHub (Link)

You can install ChatHub here: https://chathub.gg

ChatGPT, Bing, Bard, and Claude - Use different chatbots in one app with ChatHub. Users can compare chatbot answers and use ChatGPT's faster and more cost-effective API mode. The platform also features markdown, code highlight support, a prompt library, and much more. (Source)