richarderkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf overview

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    "summary": "This is a merge of pre-trained language models created using mergekit.",
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    "benchmark_table_html": "",
    "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\nmergekit-della_linear-uogzotg - GGUF\n- Model creator: https://huggingface.co/mergekit-community/\n- Original model: https://huggingface.co/mergekit-community/mergekit-della_linear-uogzotg/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [mergekit-della_linear-uogzotg.Q2_K.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q2_K.gguf) | Q2_K | 2.96GB |\n| [mergekit-della_linear-uogzotg.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [mergekit-della_linear-uogzotg.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [mergekit-della_linear-uogzotg.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [mergekit-della_linear-uogzotg.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [mergekit-della_linear-uogzotg.Q3_K.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q3_K.gguf) | Q3_K | 3.74GB |\n| [mergekit-della_linear-uogzotg.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [mergekit-della_linear-uogzotg.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [mergekit-della_linear-uogzotg.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [mergekit-della_linear-uogzotg.Q4_0.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [mergekit-della_linear-uogzotg.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [mergekit-della_linear-uogzotg.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [mergekit-della_linear-uogzotg.Q4_K.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q4_K.gguf) | Q4_K | 4.58GB |\n| [mergekit-della_linear-uogzotg.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [mergekit-della_linear-uogzotg.Q4_1.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [mergekit-della_linear-uogzotg.Q5_0.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [mergekit-della_linear-uogzotg.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [mergekit-della_linear-uogzotg.Q5_K.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q5_K.gguf) | Q5_K | 5.34GB |\n| [mergekit-della_linear-uogzotg.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [mergekit-della_linear-uogzotg.Q5_1.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [mergekit-della_linear-uogzotg.Q6_K.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q6_K.gguf) | Q6_K | 6.14GB |\n| [mergekit-della_linear-uogzotg.Q8_0.gguf](https://huggingface.co/RichardErkhov/mergekit-community_-_mergekit-della_linear-uogzotg-gguf/blob/main/mergekit-della_linear-uogzotg.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Undi95/Unholy-8B-DPO-OAS\n- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2\n- vicgalle/Humanish-Roleplay-Llama-3.1-8B\n- Undi95/Meta-Llama-3.1-8B-Claude\n- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3\n- tokyotech-llm/Llama-3.1-Swallow-8B-v0.2\n- Solshine/reflection-llama-3.1-8B\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# merge\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 della_linear merge method using [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Undi95/Unholy-8B-DPO-OAS](https://huggingface.co/Undi95/Unholy-8B-DPO-OAS)\n* [vicgalle/Humanish-Roleplay-Llama-3.1-8B](https://huggingface.co/vicgalle/Humanish-Roleplay-Llama-3.1-8B)\n* [Undi95/Meta-Llama-3.1-8B-Claude](https://huggingface.co/Undi95/Meta-Llama-3.1-8B-Claude)\n* [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3)\n* [tokyotech-llm/Llama-3.1-Swallow-8B-v0.2](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-v0.2)\n* [Solshine/reflection-llama-3.1-8B](https://huggingface.co/Solshine/reflection-llama-3.1-8B)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\n\nmodels:\n  - model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Solshine/reflection-llama-3.1-8B\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Undi95/Unholy-8B-DPO-OAS\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Undi95/Meta-Llama-3.1-8B-Claude\n    parameters:\n      density: 0.5\n      weight: 0.5\n      \n\n  - model: vicgalle/Humanish-Roleplay-Llama-3.1-8B\n    parameters:\n      density: 0.5\n      weight: 0.5\n\n  - model: tokyotech-llm/Llama-3.1-Swallow-8B-v0.2\n    parameters:\n      density: 0.5\n      weight: 0.5\n\n      \n\nmerge_method: della_linear\nbase_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2\nparameters:\n  normalize: false\n  int8_mask: true\ndtype: float16\n\n\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
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  "last_modified": "2025-06-03T07:10:10.000Z",
  "created_at": "2025-06-03T05:24:11.000Z",
  "pipeline_tag": "",
  "library_name": ""
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