Orca 2: Teaching Small Language Models How to Reason (www.microsoft.com)

submitted 11 months ago* (last edited 11 months ago) by noneabove1182@sh.itjust.works to c/localllama@sh.itjust.works

7 comments fedilink hide all child comments

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

you are viewing a single comment's thread
view the rest of the comments

[-] Hanabie@sh.itjust.works 4 points 11 months ago

What's the context window size?

[-] noneabove1182@sh.itjust.works 2 points 11 months ago

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

[-] Hanabie@sh.itjust.works 2 points 11 months ago

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

[-] noneabove1182@sh.itjust.works 2 points 11 months ago

Btw there's a 16k tune available now:

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

[-] Hanabie@sh.itjust.works 2 points 11 months ago

Nice, will give it a try. Thank you 😊

this post was submitted on 21 Nov 2023

20 points (100.0% liked)

LocalLLaMA

2244 readers

1 users here now

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.

founded 1 year ago

MODERATORS

pax@sh.itjust.works

SkySyrup@sh.itjust.works

noneabove1182@sh.itjust.works