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committedJul 25, 2023
add submission form
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‎_config.yml

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Timeline: "dates"
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Prizes: "prizes"
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Starter Kit: "starter_kit"
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Submission: "submission"
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Leaderboard: "leaderboard"
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Organizers: "organizers"
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Advisors: "advisors"

‎challenge.md

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## Approved Base models:
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<p style='text-align: justify;'>
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The starting model for the competition should be an open base model without instruction-tuning. Examples of licenses we'll accept are [MIT](https://spdx.org/licenses/MIT.html), [Apache 2](https://www.apache.org/licenses/LICENSE-2.0)), [BigScience RAIL](https://bigscience.huggingface.co/blog/the-bigscience-rail-license). We're also happy to discuss other licenses on a case by case basis, for example per community interest we'll accept the [LLAMA 2 community license agreement](https://github.com/facebookresearch/llama/blob/main/LICENSE) if you've requested and been approved for a [download link](https://ai.meta.com/resources/models-and-libraries/llama-downloads/). All sizes of the common autoregressive and autoencoder base models listed below are allowed.
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The starting model for the competition should be an open base model without instruction-tuning. Examples of licenses we'll accept are [MIT](https://spdx.org/licenses/MIT.html), [Apache 2](https://www.apache.org/licenses/LICENSE-2.0), [BigScience RAIL](https://bigscience.huggingface.co/blog/the-bigscience-rail-license). We're also happy to discuss other licenses on a case by case basis, for example per community interest we'll accept the [LLAMA 2 community license agreement](https://github.com/facebookresearch/llama/blob/main/LICENSE) if you've requested and been approved for a [download link](https://ai.meta.com/resources/models-and-libraries/llama-downloads/). All sizes of the common autoregressive and autoencoder base models listed below are allowed.
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</p>
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‎dates.md

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<table class="foo">
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<tr>
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<td width="50%"><b>Submission Open</b></td>
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<td width="50%">July 1st, 2023</td>
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<td width="50%">July 25th, 2023</td>
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</tr>
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<tr>
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<td width="50%"><b>Submission Deadline</b></td>
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<td width="50%">September 30th, 2023</td>
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<td width="50%">October 15th, 2023</td>
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</tr>
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<tr>
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<td width="50%"><b>Winners Notification</b></td>
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<td width="50%">November 1st, 2023</td>
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<td width="50%">November 15th, 2023</td>
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</tr>
2020
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<td width="50%"><b>In-person Workshop</b></td>

‎rules.md

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The rules of this competition aim to ensure fair evaluation and reproducible results. To this end, we require the following:
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* <p style='text-align: justify;'>Submissions must be reproducible from initial model through fine tuning and inference. Winning models, along with all associated code and data, must be open-sourced and made public after the competition under the MIT or Apache 2 license.
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* <p style='text-align: justify;'>Submissions must be reproducible from initial model through fine tuning and inference. Winning models, along with all associated code and data, must be open-sourced and made public after the competition.
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* <p style='text-align: justify;'>Submissions must NOT use any copyrighted or proprietary data, code, or closed-source content. The use of data or content that breaks service contracts or trade secrets of any entity is not allowed.
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* <p style='text-align: justify;'>Teams are encouraged to use any open-source code and libraries, provided they give proper attribution.
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* <p style='text-align: justify;'>Submissions must take less than 24 hours to fine-tune on a single Nvidia A100 or Nvidia 4090 graphics card.

‎submission.md

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layout: default
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---
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# Submission
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<iframe src="https://docs.google.com/forms/d/e/1FAIpQLSe6VQAyD090i1C06VN247_v6QCPk6QlU02tY2udyBcjSajy_g/viewform?embedded=true" width="640" height="1623" frameborder="0" marginheight="0" marginwidth="0">Loading…</iframe>

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