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undermine to LocalLLaMA@sh.itjust.worksEnglish · 2 years ago

I'm having a fantastic time with this model.

huggingface.co

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I'm having a fantastic time with this model.

huggingface.co

undermine to LocalLLaMA@sh.itjust.worksEnglish · 2 years ago
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Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B · Hugging Face
huggingface.co
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

I’ve been using TheBlokes Q8 of https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B, but now this one (https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B) I think is killing it. Has anyone else tested it?

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  • noneabove1182@sh.itjust.worksM
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    2 years ago

    Hmm had interesting results from both of those base models, haven’t tried the combo yet, will start some exllamav2 quants to test

    What’s it doing well at?

    quant link for anyone who may want: https://huggingface.co/bartowski/OpenHermes-2.5-neural-chat-7b-v3-1-7B-exl2

    • undermineOP
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      2 years ago

      I haven’t tried neural-chat, but the combined model seems to be better (anecdotally) than OH2.5/Mistral at following instructions, reasoning, some of the overall quirks with llama.cpp seem to be ironed out with it too.

  • MigratingtoLemmy@lemmy.world
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    2 years ago

    What hardware are you running this off of?

  • rufus@discuss.tchncs.de
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    2 years ago

    Seems quite intelligent. But I’m currently trying storywriting and that seems to be the one thing it doesn’t excel at. It mostly stays being very abstract and summarizing the plot instead of playing it out.

    • noneabove1182@sh.itjust.worksM
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      2 years ago

      Yeah this seems less focused on creativity, there’s a lot of really good models out there tuned for story telling that will far exceed generalized SoTA models

  • Mixtral@sh.itjust.works
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    2 years ago

    How to download it for MLCChat(Android)?

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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