richarderkhov/flammenai_-_flammen10-mistral-7b-gguf overview

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    "summary": "This is a merge of pre-trained language models created using mergekit.",
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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\nflammen10-mistral-7B - GGUF\n- Model creator: https://huggingface.co/flammenai/\n- Original model: https://huggingface.co/flammenai/flammen10-mistral-7B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [flammen10-mistral-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q2_K.gguf) | Q2_K | 2.53GB |\n| [flammen10-mistral-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [flammen10-mistral-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [flammen10-mistral-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [flammen10-mistral-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [flammen10-mistral-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q3_K.gguf) | Q3_K | 3.28GB |\n| [flammen10-mistral-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [flammen10-mistral-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [flammen10-mistral-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [flammen10-mistral-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [flammen10-mistral-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [flammen10-mistral-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [flammen10-mistral-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q4_K.gguf) | Q4_K | 4.07GB |\n| [flammen10-mistral-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [flammen10-mistral-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [flammen10-mistral-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [flammen10-mistral-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [flammen10-mistral-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q5_K.gguf) | Q5_K | 4.78GB |\n| [flammen10-mistral-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [flammen10-mistral-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [flammen10-mistral-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q6_K.gguf) | Q6_K | 5.53GB |\n| [flammen10-mistral-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/flammenai_-_flammen10-mistral-7B-gguf/blob/main/flammen10-mistral-7B.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\nbase_model:\n- nbeerbower/flammen9X-mistral-7B\n- chihoonlee10/T3Q-Mistral-Orca-Math-DPO\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# flammen10-mistral-7B\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the SLERP merge method.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [nbeerbower/flammen9X-mistral-7B](https://huggingface.co/nbeerbower/flammen9X-mistral-7B)\n* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmodels:\n  - model: nbeerbower/flammen9X-mistral-7B\n    layer_range: [0, 32]\n  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO\n    layer_range: [0, 32]\nmerge_method: slerp\nbase_model: nbeerbower/flammen9X-mistral-7B\nparameters:\n  t:\n    - filter: self_attn\n      value: [0, 0.5, 0.3, 0.7, 1]\n    - filter: mlp\n      value: [1, 0.5, 0.7, 0.3, 0]\n    - value: 0.5\ndtype: bfloat16\n\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 128,
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  "last_modified": "2024-09-15T02:25:40.000Z",
  "created_at": "2024-09-14T19:45:39.000Z",
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  "createdAt": "2024-09-14T19:45:39.000Z",
  "lastModified": "2024-09-15T02:25:40.000Z",
  "author": "RichardErkhov",
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