this post was submitted on 21 Nov 2023
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LocalLLaMA

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Community to discuss about LLaMA, the large language model created by Meta AI.

This is intended to be a replacement for r/LocalLLaMA on Reddit.

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Orca 2: Teaching Small Language Models How to Reason (www.microsoft.com)
submitted 1 year ago* (last edited 1 year ago) by noneabove1182 to c/localllama
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Orca 2 released by Microsoft!

Full weights here:

https://huggingface.co/microsoft/Orca-2-7b

https://huggingface.co/microsoft/Orca-2-13b

My own exllamav2 quants here:

https://huggingface.co/bartowski/Orca-2-7b-exl2

https://huggingface.co/bartowski/Orca-2-13b-exl2

GGUF from TheBloke (links to GPTQ/AWQ inside it):

https://huggingface.co/TheBloke/Orca-2-7B-GGUF

https://huggingface.co/TheBloke/Orca-2-13B-GGUF

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[–] [email protected] 3 points 1 year ago (1 children)

How does it compare to Mistral? That’s the best performing 7b model and it’s suspiciously missing from this report.

[–] noneabove1182 2 points 1 year ago

I'm looking forward to trying it today, I think this might make a good RAG model based on the orca 2 paper, but testing will be needed