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Running
on
CPU Upgrade
Move logo images to the bottom
Browse files- app.py +2 -0
- src/about.py +13 -10
app.py
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@@ -12,6 +12,7 @@ from src.about import (
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INTRODUCTION_TEXT,
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LLM_BENCHMARKS_TEXT,
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TITLE,
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)
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from src.display.css_html_js import custom_css
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from src.display.utils import (
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@@ -509,6 +510,7 @@ with demo:
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elem_id="citation-button",
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show_copy_button=True,
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)
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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INTRODUCTION_TEXT,
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LLM_BENCHMARKS_TEXT,
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TITLE,
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BOTTOM_LOGO,
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)
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from src.display.css_html_js import custom_css
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from src.display.utils import (
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elem_id="citation-button",
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show_copy_button=True,
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)
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gr.HTML(BOTTOM_LOGO)
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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src/about.py
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@@ -76,16 +76,6 @@ INTRODUCTION_TEXT = """
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The __Open Japanese LLM Leaderboard__ by __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__ evaluates the performance of Japanese Large Language Models (LLMs) with more than 16 tasks from classical to modern NLP tasks. The __Open Japanese LLM Leaderboard__ was built by open-source contributors of __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__, a cross-organizational project for the research and development of Japanese LLMs supported by the _National Institute of Informatics_ in Tokyo, Japan.
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On the __"LLM Benchmark"__ page, the question mark **"?"** refers to the parameters that are unknown in the model card on Hugging Face. For more information about datasets, please consult the __"About"__ page or refer to the website of __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__. And on the __"Submit here!"__ page, you can evaluate the performance of your model, and be part of the leaderboard.
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<div style="display: flex; flex-direction: row; justify-content: space-around; align-items: center" dir="ltr">
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<a href="https://llm-jp.nii.ac.jp/en/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/LLM-jp-Logo-Oct-2024.png" alt="LLM-jp" style="max-height: 100px">
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</a>
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<a href="https://mdx.jp/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/MDX-Logo-Oct-2024.jpg" alt="MDX" style="max-height: 100px">
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</a>
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<a href="https://huggingface.co/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/HuggingFace-Logo-Oct-2024.png" alt="HuggingFace" style="max-height: 100px">
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</a>
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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Make sure you have followed the above steps first.
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If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""@misc{OJLL,
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author = {Miyao, Yusuke and Ishida, Shigeki and Okamoto, Takumi and Han, Namgi and Mousterou, Akim and Fourrier, Clémentine and Hayashi, Toshihiro and Tachibana, Yuichiro},
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The __Open Japanese LLM Leaderboard__ by __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__ evaluates the performance of Japanese Large Language Models (LLMs) with more than 16 tasks from classical to modern NLP tasks. The __Open Japanese LLM Leaderboard__ was built by open-source contributors of __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__, a cross-organizational project for the research and development of Japanese LLMs supported by the _National Institute of Informatics_ in Tokyo, Japan.
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On the __"LLM Benchmark"__ page, the question mark **"?"** refers to the parameters that are unknown in the model card on Hugging Face. For more information about datasets, please consult the __"About"__ page or refer to the website of __[LLM-Jp](https://llm-jp.nii.ac.jp/en/)__. And on the __"Submit here!"__ page, you can evaluate the performance of your model, and be part of the leaderboard.
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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Make sure you have followed the above steps first.
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If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
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"""
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BOTTOM_LOGO = """
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<div style="display: flex; flex-direction: row; justify-content">
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<a href="https://llm-jp.nii.ac.jp/en/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/LLM-jp-Logo-Oct-2024.png" alt="LLM-jp" style="max-height: 100px">
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</a>
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<a href="https://mdx.jp/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/MDX-Logo-Oct-2024.jpg" alt="MDX" style="max-height: 100px">
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</a>
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<a href="https://huggingface.co/">
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<img src="https://raw.githubusercontent.com/AkimfromParis/akimfromparis/refs/heads/main/images/HuggingFace-Logo-Oct-2024.png" alt="HuggingFace" style="max-height: 100px">
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</a>
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</div>
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""@misc{OJLL,
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author = {Miyao, Yusuke and Ishida, Shigeki and Okamoto, Takumi and Han, Namgi and Mousterou, Akim and Fourrier, Clémentine and Hayashi, Toshihiro and Tachibana, Yuichiro},
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