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Update README.md
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README.md
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value: 65.19
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name: normalized accuracy
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source:
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url:
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 84.57
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name: normalized accuracy
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source:
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url:
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 58.56
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name: accuracy
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source:
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url:
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name: Open LLM Leaderboard
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type: text-generation
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- type: mc2
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value: 66.24
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 80.43
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name: accuracy
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source:
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url:
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 31.46
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name: accuracy
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source:
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url:
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name: Open LLM Leaderboard
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---
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<!DOCTYPE html>
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<html lang="en">
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<div>
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<p><strong>Ignis-7B-DPO</strong> Trained on the Neural-DPO dataset using A-100 80GB.</p>
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</div>
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</body>
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value: 65.19
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 84.57
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 58.56
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: mc2
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value: 66.24
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 80.43
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 31.46
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Ignis-7B-DPO-Laser
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name: Open LLM Leaderboard
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datasets:
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- NeuralNovel/Neural-DPO
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language:
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- en
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---
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<!DOCTYPE html>
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<html lang="en">
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<div>
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<p><strong>Ignis-7B-DPO</strong> Trained on the Neural-DPO dataset using A-100 80GB.</p>
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</div>
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</body>
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