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@RaymondLi0 RaymondLi0 commented Feb 22, 2024

The Starcoder2 model, adapted from Mistral. All changes are done through options, so Mistral itself is still supported.
Main changes:

  • Use layer norm
  • Use standard MLP
  • Add biases (optional)
  • Change (default?) tokenizer class
    *Embedding and residual dropout

It does not support absolute embeddings, so can't support Santacoder or Starcoder

Starcoder2-3B model: https://huggingface.co/bigcode/starcoder2-3b

Todo:

@younesbelkada @ArthurZucker @jlamypoirier

@RaymondLi0 RaymondLi0 mentioned this pull request Feb 22, 2024
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

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@ArthurZucker ArthurZucker left a comment

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In #29228 I mention that static cache is not a blocker for the PR 😉

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@younesbelkada younesbelkada left a comment

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Thanks ! LGTM once we add the docs !

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@ArthurZucker ArthurZucker left a comment

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Let's go!

Comment on lines +21 to +23
Starcoder2 has been released with the paper [Stacoder-2](https://drive.google.com/file/d/17iGn3c-sYNiLyRSY-A85QOzgzGnGiVI3/view) by BigCode team.

Documentation page about the model is coming soon
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this is fairly short. Let's add that the main difference with mistral is dropout, as the authors would be nice to explain how much this influenced training for example.

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yeah makes sense, I will take care of that after the official release

@younesbelkada younesbelkada merged commit 63caa37 into huggingface:main Feb 28, 2024
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Thank you for the PR @RaymondLi0. cc @loubnabnl and @lvwerra, next time let's make sure doc and paper links are fully completed before we merge, we require this for every model / organisation regardless of the release date 😉 let's make this an exception

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5 participants