richarderkhov/nbeerbower_-_gemma2-gutenberg-9b-gguf overview

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    "summary": "UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 finetuned on jondurbin/gutenberg-dpo-v0.1. ### Method Finetuned using an RTX 4090 using ORPO for 3 epochs. Fine-tune Llama 3 with ORPO # Open LLM Leaderboard Evaluation Results Detailed results can be found here |      Metric       |Value| |-------------------|----:| |Avg.               |22.61| |IFEval (0-Shot)    |27.96| |BBH (3-Shot)       |42.36| |MATH Lvl 5 (4-Shot)| 1.44| |GPQA (0-shot)      |11.74| |MuSR (0-shot)      |16.71| |MMLU-PRO (5-shot)  |35.47|",
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    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\ngemma2-gutenberg-9B - GGUF\n- Model creator: https://huggingface.co/nbeerbower/\n- Original model: https://huggingface.co/nbeerbower/gemma2-gutenberg-9B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gemma2-gutenberg-9B.Q2_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q2_K.gguf) | Q2_K | 3.54GB |\n| [gemma2-gutenberg-9B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.IQ3_XS.gguf) | IQ3_XS | 3.86GB |\n| [gemma2-gutenberg-9B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.IQ3_S.gguf) | IQ3_S | 4.04GB |\n| [gemma2-gutenberg-9B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q3_K_S.gguf) | Q3_K_S | 4.04GB |\n| [gemma2-gutenberg-9B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.IQ3_M.gguf) | IQ3_M | 4.19GB |\n| [gemma2-gutenberg-9B.Q3_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q3_K.gguf) | Q3_K | 4.43GB |\n| [gemma2-gutenberg-9B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q3_K_M.gguf) | Q3_K_M | 4.43GB |\n| [gemma2-gutenberg-9B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q3_K_L.gguf) | Q3_K_L | 4.78GB |\n| [gemma2-gutenberg-9B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.IQ4_XS.gguf) | IQ4_XS | 4.86GB |\n| [gemma2-gutenberg-9B.Q4_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q4_0.gguf) | Q4_0 | 5.07GB |\n| [gemma2-gutenberg-9B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.IQ4_NL.gguf) | IQ4_NL | 5.1GB |\n| [gemma2-gutenberg-9B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q4_K_S.gguf) | Q4_K_S | 5.1GB |\n| [gemma2-gutenberg-9B.Q4_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q4_K.gguf) | Q4_K | 5.37GB |\n| [gemma2-gutenberg-9B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q4_K_M.gguf) | Q4_K_M | 5.37GB |\n| [gemma2-gutenberg-9B.Q4_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q4_1.gguf) | Q4_1 | 5.55GB |\n| [gemma2-gutenberg-9B.Q5_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q5_0.gguf) | Q5_0 | 6.04GB |\n| [gemma2-gutenberg-9B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q5_K_S.gguf) | Q5_K_S | 6.04GB |\n| [gemma2-gutenberg-9B.Q5_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q5_K.gguf) | Q5_K | 6.19GB |\n| [gemma2-gutenberg-9B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q5_K_M.gguf) | Q5_K_M | 6.19GB |\n| [gemma2-gutenberg-9B.Q5_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q5_1.gguf) | Q5_1 | 6.52GB |\n| [gemma2-gutenberg-9B.Q6_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q6_K.gguf) | Q6_K | 7.07GB |\n| [gemma2-gutenberg-9B.Q8_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_gemma2-gutenberg-9B-gguf/blob/main/gemma2-gutenberg-9B.Q8_0.gguf) | Q8_0 | 9.15GB |\n\n\n\n\nOriginal model description:\n---\nlicense: gemma\nlibrary_name: transformers\nbase_model:\n- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3\ndatasets:\n- jondurbin/gutenberg-dpo-v0.1\nmodel-index:\n- name: gemma2-gutenberg-9B\n  results:\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: IFEval (0-Shot)\n      type: HuggingFaceH4/ifeval\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: inst_level_strict_acc and prompt_level_strict_acc\n      value: 27.96\n      name: strict accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: BBH (3-Shot)\n      type: BBH\n      args:\n        num_few_shot: 3\n    metrics:\n    - type: acc_norm\n      value: 42.36\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MATH Lvl 5 (4-Shot)\n      type: hendrycks/competition_math\n      args:\n        num_few_shot: 4\n    metrics:\n    - type: exact_match\n      value: 1.44\n      name: exact match\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: GPQA (0-shot)\n      type: Idavidrein/gpqa\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: acc_norm\n      value: 11.74\n      name: acc_norm\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MuSR (0-shot)\n      type: TAUR-Lab/MuSR\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: acc_norm\n      value: 16.71\n      name: acc_norm\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MMLU-PRO (5-shot)\n      type: TIGER-Lab/MMLU-Pro\n      config: main\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 35.47\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B\n      name: Open LLM Leaderboard\n---\n\n# gemma2-gutenberg-9B\n\n[UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1).\n\n### Method\n\nFinetuned using an RTX 4090 using ORPO for 3 epochs.\n\n[Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)\n\n\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__gemma2-gutenberg-9B)\n\n|      Metric       |Value|\n|-------------------|----:|\n|Avg.               |22.61|\n|IFEval (0-Shot)    |27.96|\n|BBH (3-Shot)       |42.36|\n|MATH Lvl 5 (4-Shot)| 1.44|\n|GPQA (0-shot)      |11.74|\n|MuSR (0-shot)      |16.71|\n|MMLU-PRO (5-shot)  |35.47|\n\n\n\n",
    "related_quantizations": []
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  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2024-08-23T02:53:50.000Z",
  "created_at": "2024-08-22T23:14:05.000Z",
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