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 11 months ago* (last edited 11 months ago) by [email protected] to c/[email protected]
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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] 2 points 11 months ago (3 children)

according to the config it looks like it's only 4096, and they specify in the arxiv that they kept the training data under that value so it must be 4096.. i'm sure people will expand it soon like they have with others

[–] [email protected] 2 points 11 months ago (2 children)

I'll wait a little then I guess. I need 16k for what I'm doing. Thanks for the heads up 🙂

[–] [email protected] 2 points 11 months ago (1 children)

Btw there's a 16k tune available now:

https://huggingface.co/bartowski/Orca-2-13B-16k-exl2

[–] [email protected] 2 points 11 months ago

Nice, will give it a try. Thank you 😊