richarderkhov/gweizheng_-_marcoro14-7b-dare-gguf overview

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    "summary": "Marcoro14-7B-dare is a merge of the following models using mergekit: * samir-fama/SamirGPT-v1 * abacusai/Slerp-CM-mist-dpo * EmbeddedLLM/Mistral-7B-Merge-14-v0.2",
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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\nMarcoro14-7B-dare - GGUF\n- Model creator: https://huggingface.co/Gweizheng/\n- Original model: https://huggingface.co/Gweizheng/Marcoro14-7B-dare/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Marcoro14-7B-dare.Q2_K.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q2_K.gguf) | Q2_K | 2.53GB |\n| [Marcoro14-7B-dare.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [Marcoro14-7B-dare.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [Marcoro14-7B-dare.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [Marcoro14-7B-dare.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [Marcoro14-7B-dare.Q3_K.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q3_K.gguf) | Q3_K | 3.28GB |\n| [Marcoro14-7B-dare.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [Marcoro14-7B-dare.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [Marcoro14-7B-dare.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [Marcoro14-7B-dare.Q4_0.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [Marcoro14-7B-dare.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [Marcoro14-7B-dare.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [Marcoro14-7B-dare.Q4_K.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q4_K.gguf) | Q4_K | 4.07GB |\n| [Marcoro14-7B-dare.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [Marcoro14-7B-dare.Q4_1.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [Marcoro14-7B-dare.Q5_0.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [Marcoro14-7B-dare.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [Marcoro14-7B-dare.Q5_K.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q5_K.gguf) | Q5_K | 4.78GB |\n| [Marcoro14-7B-dare.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [Marcoro14-7B-dare.Q5_1.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [Marcoro14-7B-dare.Q6_K.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q6_K.gguf) | Q6_K | 5.53GB |\n| [Marcoro14-7B-dare.Q8_0.gguf](https://huggingface.co/RichardErkhov/Gweizheng_-_Marcoro14-7B-dare-gguf/blob/main/Marcoro14-7B-dare.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\ntags:\n- merge\n- mergekit\n- lazymergekit\n- samir-fama/SamirGPT-v1\n- abacusai/Slerp-CM-mist-dpo\n- EmbeddedLLM/Mistral-7B-Merge-14-v0.2\n---\n\n# Marcoro14-7B-dare\n\nMarcoro14-7B-dare is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)\n* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)\n* [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)\n\n## 🧩 Configuration\n\n\\```yaml\nmodels:\n  - model: mistralai/Mistral-7B-v0.1\n    # No parameters necessary for base model\n  - model: samir-fama/SamirGPT-v1\n    parameters:\n      density: 0.53\n      weight: 0.4\n  - model: abacusai/Slerp-CM-mist-dpo\n    parameters:\n      density: 0.53\n      weight: 0.3\n  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2\n    parameters:\n      density: 0.53\n      weight: 0.3\nmerge_method: dare_ties\nbase_model: mistralai/Mistral-7B-v0.1\nparameters:\n  int8_mask: true\ndtype: bfloat16\n\\```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 217,
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  "last_modified": "2024-09-21T03:00:30.000Z",
  "created_at": "2024-09-20T23:48:09.000Z",
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  "createdAt": "2024-09-20T23:48:09.000Z",
  "lastModified": "2024-09-21T03:00:30.000Z",
  "author": "RichardErkhov",
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