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README.md
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This model was converted to GGUF format from [`nbeerbower/Gemma2-Gutenberg-Doppel-9B`](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`nbeerbower/Gemma2-Gutenberg-Doppel-9B`](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B) for more details on the model.
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---
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Model details:
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Gemma2-Gutenberg-Doppel-9B
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UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 finetuned on jondurbin/gutenberg-dpo-v0.1 and nbeerbower/gutenberg2-dpo.
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Method
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ORPO finetuned using 2x A40 for 3 epochs.
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Open LLM Leaderboard Evaluation Results
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Detailed results can be found here
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Metric Value
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Avg. 29.82
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IFEval (0-Shot) 71.71
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BBH (3-Shot) 41.08
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MATH Lvl 5 (4-Shot) 3.47
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GPQA (0-shot) 10.63
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MuSR (0-shot) 17.30
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MMLU-PRO (5-shot) 34.75
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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