They are referencing this paper: LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset from September 30.
The paper itself provides some insight on how people use LLMs and the distribution of the different use-cases.
The researchers had a look at conversations with 25 LLMs. Data is collected from 210K unique IP addresses in the wild on their Vicuna demo and Chatbot Arena website.
Ah, nice. Yeah I’ve had some success with Mistral 7B Claude and Mistral 7B OpenOrca (I believe there are newer and better ones out since) I really like the speed of the 7B. And they engage in roleplay/dialogue and are -in my eyes- surprisingly smart. It understood how to roleplay a bit more complicated characters with likes and dislikes and personality quirks (within limits). But you’re right. There is a difference to a Llama2 with more parameters. If you go away from the ‘normal’ smart assistant chatbot usage you’ll notice. I also compared the german-speaking finetunes of Mistral and Llama2 and you can kinda tell Mistral hasn’t seen much text outside of english in it’s original dataset.