richarderkhov/nbeerbower_-_mistral-nemo-gutenberg-12b-v4-gguf overview

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    "summary": "TheDrummer/Rocinante-12B-v1 finetuned on jondurbin/gutenberg-dpo-v0.1. ### Method Finetuned using an A100 on Google Colab for 3 epochs. Fine-tune Llama 3 with ORPO # Open LLM Leaderboard Evaluation Results Detailed results can be found here |      Metric       |Value| |-------------------|----:| |Avg.               |19.56| |IFEval (0-Shot)    |23.79| |BBH (3-Shot)       |31.97| |MATH Lvl 5 (4-Shot)|10.95| |GPQA (0-shot)      | 8.84| |MuSR (0-shot)      |13.20| |MMLU-PRO (5-shot)  |28.62|",
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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\nmistral-nemo-gutenberg-12B-v4 - GGUF\n- Model creator: https://huggingface.co/nbeerbower/\n- Original model: https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [mistral-nemo-gutenberg-12B-v4.Q2_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q2_K.gguf) | Q2_K | 4.46GB |\n| [mistral-nemo-gutenberg-12B-v4.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.IQ3_XS.gguf) | IQ3_XS | 4.94GB |\n| [mistral-nemo-gutenberg-12B-v4.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.IQ3_S.gguf) | IQ3_S | 5.18GB |\n| [mistral-nemo-gutenberg-12B-v4.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q3_K_S.gguf) | Q3_K_S | 5.15GB |\n| [mistral-nemo-gutenberg-12B-v4.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.IQ3_M.gguf) | IQ3_M | 5.33GB |\n| [mistral-nemo-gutenberg-12B-v4.Q3_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q3_K.gguf) | Q3_K | 5.67GB |\n| [mistral-nemo-gutenberg-12B-v4.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q3_K_M.gguf) | Q3_K_M | 5.67GB |\n| [mistral-nemo-gutenberg-12B-v4.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q3_K_L.gguf) | Q3_K_L | 6.11GB |\n| [mistral-nemo-gutenberg-12B-v4.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.IQ4_XS.gguf) | IQ4_XS | 6.33GB |\n| [mistral-nemo-gutenberg-12B-v4.Q4_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q4_0.gguf) | Q4_0 | 6.59GB |\n| [mistral-nemo-gutenberg-12B-v4.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.IQ4_NL.gguf) | IQ4_NL | 6.65GB |\n| [mistral-nemo-gutenberg-12B-v4.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q4_K_S.gguf) | Q4_K_S | 6.63GB |\n| [mistral-nemo-gutenberg-12B-v4.Q4_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q4_K.gguf) | Q4_K | 6.96GB |\n| [mistral-nemo-gutenberg-12B-v4.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q4_K_M.gguf) | Q4_K_M | 6.96GB |\n| [mistral-nemo-gutenberg-12B-v4.Q4_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q4_1.gguf) | Q4_1 | 7.26GB |\n| [mistral-nemo-gutenberg-12B-v4.Q5_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q5_0.gguf) | Q5_0 | 7.93GB |\n| [mistral-nemo-gutenberg-12B-v4.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q5_K_S.gguf) | Q5_K_S | 7.93GB |\n| [mistral-nemo-gutenberg-12B-v4.Q5_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q5_K.gguf) | Q5_K | 8.13GB |\n| [mistral-nemo-gutenberg-12B-v4.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q5_K_M.gguf) | Q5_K_M | 8.13GB |\n| [mistral-nemo-gutenberg-12B-v4.Q5_1.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q5_1.gguf) | Q5_1 | 8.61GB |\n| [mistral-nemo-gutenberg-12B-v4.Q6_K.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q6_K.gguf) | Q6_K | 9.37GB |\n| [mistral-nemo-gutenberg-12B-v4.Q8_0.gguf](https://huggingface.co/RichardErkhov/nbeerbower_-_mistral-nemo-gutenberg-12B-v4-gguf/blob/main/mistral-nemo-gutenberg-12B-v4.Q8_0.gguf) | Q8_0 | 12.13GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\nlibrary_name: transformers\nbase_model:\n- TheDrummer/Rocinante-12B-v1\ndatasets:\n- jondurbin/gutenberg-dpo-v0.1\nmodel-index:\n- name: mistral-nemo-gutenberg-12B-v4\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: 23.79\n      name: strict accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\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: 31.97\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\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: 10.95\n      name: exact match\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\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: 8.84\n      name: acc_norm\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\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: 13.2\n      name: acc_norm\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\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: 28.62\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/mistral-nemo-gutenberg-12B-v4\n      name: Open LLM Leaderboard\n---\n\n# mistral-nemo-gutenberg-12B-v4\n\n[TheDrummer/Rocinante-12B-v1](https://huggingface.co/TheDrummer/Rocinante-12B-v1) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1).\n\n### Method\n\nFinetuned using an A100 on Google Colab 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# [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__mistral-nemo-gutenberg-12B-v4)\n\n|      Metric       |Value|\n|-------------------|----:|\n|Avg.               |19.56|\n|IFEval (0-Shot)    |23.79|\n|BBH (3-Shot)       |31.97|\n|MATH Lvl 5 (4-Shot)|10.95|\n|GPQA (0-shot)      | 8.84|\n|MuSR (0-shot)      |13.20|\n|MMLU-PRO (5-shot)  |28.62|\n\n\n\n",
    "related_quantizations": []
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  "tags": [
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    "endpoints_compatible",
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