this post was submitted on 26 Oct 2023
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LocalLLaMA

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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.

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[โ€“] [email protected] 2 points 1 year ago (1 children)

I think that mostly applies when you combine it with the Samantha character description in the prompt, but if you substitute it for a different character card the model itself doesn't feel heavily censored or anything. Personally I like it as an RP model because it isn't hypersexual like many others are. And while Mistral-7b is very competent as an AI assistant I don't think it's great for RP, so I tend to prefer fine-tunes of llama-2-13b for conversations.

[โ€“] [email protected] 1 points 1 year ago* (last edited 1 year ago)

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.