result
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README.md
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| [gemma-2-2b-jpn-it](https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/google/gemma-2-2b-jpn-it/results_2024-10-15T15-21-39.173019.json) | 30.82 | 54.11 | 41.43 | 0.0 | 27.52 | 37.17 | 24.67 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO (4 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/results_2024-10-20T02-46-59.069357.json) | 29.99 | 50.94 | 38.59 | 2.87 | 27.43 | 38.23 | 21.86 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO (8 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/results_2024-10-24T00-00-00.000000.json) | 29.42 | 48.95 | 38.27 | 3.17 | 26.93 | 37.43 | 21.77 |
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| gemma-2-2b-jpn-it-abliterated-17-ORPO (12 epoches) |
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| gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca |
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| [gemma-2-2b-jpn-it-abliterated-18-ORPO (4 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/results_2024-10-22T04-04-56.385050.json) | 29.94 | 48.97 | 40.18 | 3.02 | 26.17 | 39.42 | 21.85 |
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| [gemma-2-2b-jpn-it-abliterated-17](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17/results_2024-10-18T15-18-46.821674.json) | 30.29 | 52.65 | 40.46 | 0.0 | 27.18 | 36.90 | 24.55 |
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| [gemma-2-2b-jpn-it-abliterated-18](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-18/results_2024-10-18T15-41-42.399571.json) | 30.61 | 53.02 | 40.96 | 0.0 | 27.35 | 37.30 | 25.05 |
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| [gemma-2-2b-jpn-it-abliterated-24](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-24/results_2024-10-25T16-29-46.542899.json) | 30.61 | 51.37 | 40.77 | 0.0 | 27.77 | 39.02 | 24.73 |
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## How to run this model
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```py
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| [gemma-2-2b-jpn-it](https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/google/gemma-2-2b-jpn-it/results_2024-10-15T15-21-39.173019.json) | 30.82 | 54.11 | 41.43 | 0.0 | 27.52 | 37.17 | 24.67 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO (4 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/results_2024-10-20T02-46-59.069357.json) | 29.99 | 50.94 | 38.59 | 2.87 | 27.43 | 38.23 | 21.86 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO (8 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/results_2024-10-24T00-00-00.000000.json) | 29.42 | 48.95 | 38.27 | 3.17 | 26.93 | 37.43 | 21.77 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO (12 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO/results_2024-10-27T12-01-07.262610.json) | 29.90 | 49.50 | 38.76 | 4.23 | 27.43 | 37.57 | 21.91 |
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| [gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO-alpaca/results_2024-10-27T13-22-32.303741.json) | 26.92 | 31.91 | 40.57 | 0.08 | 26.93| 39.55 | 22.49 |
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| [gemma-2-2b-jpn-it-abliterated-18-ORPO (4 epoches)](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-18-ORPO/results_2024-10-22T04-04-56.385050.json) | 29.94 | 48.97 | 40.18 | 3.02 | 26.17 | 39.42 | 21.85 |
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| [gemma-2-2b-jpn-it-abliterated-17](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17/results_2024-10-18T15-18-46.821674.json) | 30.29 | 52.65 | 40.46 | 0.0 | 27.18 | 36.90 | 24.55 |
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| [gemma-2-2b-jpn-it-abliterated-18](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-18/results_2024-10-18T15-41-42.399571.json) | 30.61 | 53.02 | 40.96 | 0.0 | 27.35 | 37.30 | 25.05 |
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| [gemma-2-2b-jpn-it-abliterated-24](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-24/results_2024-10-25T16-29-46.542899.json) | 30.61 | 51.37 | 40.77 | 0.0 | 27.77 | 39.02 | 24.73 |
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Looks like fine tuning with alpaca doesn't make sense?
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## How to run this model
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```py
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