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src/about.py
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When you submit a model on the "Submit here!" page, it is automatically evaluated on a set of benchmarks.
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The GPU used for evaluation is operated with the support of __[Huawei Technologies France](https://www.huawei.com/)__
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The datasets used for evaluation are the `TeleQnA` benchmark from [TeleQnA](https://github.com/netop-team/TeleQnA) and `3GPP-TSG` benchmark from [3GPP-TSG](https://arxiv.org/pdf/2407.09424) to assess LLM understanding of the telecom domain.
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Please, consider reaching out to us through the discussions tab if you are working on benchmarks for Telecom LLMs and willing to see them on this leaderboard as well. Your benchmark might change the whole game for Telecom industry !
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GPUs are provided by __[HuggingFace and GSMA](https://www.gsma.com/)__ for the evaluations.
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## Details and Logs
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- Detailed numerical results in the `results` otellm dataset: https://huggingface.co/datasets/otellm/results
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When you submit a model on the "Submit here!" page, it is automatically evaluated on a set of benchmarks.
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The GPU used for evaluation is operated with the support of __[Huawei Technologies France](https://www.huawei.com/)__ and __[GSM Association (GSMA)](https://www.gsma.com/)__.
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The datasets used for evaluation are the `TeleQnA` benchmark from [TeleQnA](https://github.com/netop-team/TeleQnA) and `3GPP-TSG` benchmark from [3GPP-TSG](https://arxiv.org/pdf/2407.09424) to assess LLM understanding of the telecom domain.
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Please, consider reaching out to us through the discussions tab if you are working on benchmarks for Telecom LLMs and willing to see them on this leaderboard as well. Your benchmark might change the whole game for Telecom industry !
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GPUs are provided by __[HuggingFace](https://huggingface.co/)__ and __[GSMA](https://www.gsma.com/)__ for the evaluations.
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## Details and Logs
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- Detailed numerical results in the `results` otellm dataset: https://huggingface.co/datasets/otellm/results
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