richarderkhov/arkana08_-_nihappy-l3.1-8b-v0.09-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models NIHAPPY-L3.1-8B-v0.09 - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | NIHAPPY-L3.1-8B-v0.09.Q2_K.gguf | Q2_K | 2.96GB | | NIHAPPY-L3.1-8B-v0.09.IQ3_XS.gguf | IQ3_XS | 3.28GB | | NIHAPPY-L3.1-8B-v0.09.IQ3_S.gguf | IQ3_S | 3.43GB | | NIHAPPY-L3.1-8B-v0.09.Q3_K_S.gguf | Q3_K_S | 3.41GB | | NIHAPPY-L3.1-8B-v0.09.IQ3_M.gguf | IQ3_M | 3.52GB | | NIHAPPY-L3.1-8B-v0.09.Q3_K.gguf | Q3_K | 3.74GB | | NIHAPPY-L3.1-8B-v0.09.Q3_K_M.gguf | Q3_K_M | 3.74GB | | NIHAPPY-L3.1-8B-v0.09.Q3_K_L.gguf | Q3_K_L | 4.03GB | | NIHAPPY-L3.1-8B-v0.09.IQ4_XS.gguf | IQ4_XS | 4.18GB | | NIHAPPY-L3.1-8B-v0.09.Q4_0.gguf | Q4_0 | 4.34GB | | NIHAPPY-L3.1-8B-v0.09.IQ4_NL.gguf | IQ4_NL | 4.38GB | | NIHAPPY-L3.1-8B-v0.09.Q4_K_S.gguf | Q4_K_S | 4.37GB | | NIHAPPY-L3.1-8B-v0.09.Q4_K.gguf | Q4_K | 4.58GB | | NIHAPPY-L3.1-8B-v0.09.Q4_K_M.gguf | Q4_K_M | 4.58GB | | NIHAPPY-L3.1-8B-v0.09.Q4_1.gguf | Q4_1 | 4.78GB | | NIHAPPY-L3.1-8B-v0.09.Q5_0.gguf | Q5_0 | 5.21GB | | NIHAPPY-L3.1-8B-v0.09.Q5_K_S.gguf | Q5_K_S | 5.21GB | | NIHAPPY-L3.1-8B-v0.09.Q5_K.gguf | Q5_K | 5.34GB | | NIHAPPY-L3.1-8B-v0.09.Q5_K_M.gguf | Q5_K_M | 5.34GB | | NIHAPPY-L3.1-8B-v0.09.Q5_1.gguf | Q5_1 | 5.65GB | | NIHAPPY-L3.1-8B-v0.09.Q6_K.gguf | Q6_K | 6.14GB | | NIHAPPY-L3.1-8B-v0.09.Q8_0.gguf | Q8_0 | 7.95GB | Original model description: --- base_model: [] library_name: transformers tags: --- ### (GGUF) Thanks mradermacher **NIHAPPY** a role-playing model that seamlessly integrates the finest qualities of various pre-trained language models. Crafted with a focus on dynamic storytelling, NIHAPPY thrives in creative and immersive roleplaying environments. It masterfully balances intricate reasoning with a smooth and consistent narrative flow, ensuring an engaging and coherent experience.",
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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\nNIHAPPY-L3.1-8B-v0.09 - GGUF\n- Model creator: https://huggingface.co/Arkana08/\n- Original model: https://huggingface.co/Arkana08/NIHAPPY-L3.1-8B-v0.09/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [NIHAPPY-L3.1-8B-v0.09.Q2_K.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q2_K.gguf) | Q2_K | 2.96GB |\n| [NIHAPPY-L3.1-8B-v0.09.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [NIHAPPY-L3.1-8B-v0.09.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [NIHAPPY-L3.1-8B-v0.09.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q3_K.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q3_K.gguf) | Q3_K | 3.74GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [NIHAPPY-L3.1-8B-v0.09.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q4_0.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [NIHAPPY-L3.1-8B-v0.09.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q4_K.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q4_K.gguf) | Q4_K | 4.58GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q4_1.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q5_0.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q5_K.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q5_K.gguf) | Q5_K | 5.34GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q5_1.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q6_K.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q6_K.gguf) | Q6_K | 6.14GB |\n| [NIHAPPY-L3.1-8B-v0.09.Q8_0.gguf](https://huggingface.co/RichardErkhov/Arkana08_-_NIHAPPY-L3.1-8B-v0.09-gguf/blob/main/NIHAPPY-L3.1-8B-v0.09.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: []\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n### (GGUF) Thanks mradermacher\n\n- **GGUF:** **[mradermacher/NIHAPPY-L3.1-8B-v0.09-GGUF](https://huggingface.co/mradermacher/NIHAPPY-L3.1-8B-v0.09-GGUF)**\n- **imatrix GGUF:** **[mradermacher/NIHAPPY-L3.1-8B-v0.09-i1-GGUF](https://huggingface.co/mradermacher/NIHAPPY-L3.1-8B-v0.09-i1-GGUF)**\n\n**NIHAPPY** a role-playing model that seamlessly integrates the finest qualities of various pre-trained language models. Crafted with a focus on dynamic storytelling, NIHAPPY thrives in creative and immersive roleplaying environments. It masterfully balances intricate reasoning with a smooth and consistent narrative flow, ensuring an engaging and coherent experience.\n\n## Merge Details\n\n### Merge Method\nThis model was created using the **DARE TIES** merge method, with **[v000000/L3.1-Niitorm-8B-DPO-t0.0001](https://huggingface.co/v000000/L3.1-Niitorm-8B-DPO-t0.0001)** serving as the base model. This approach ensures a fine-tuned balance between creativity, reasoning, and rule-following, ideal for intricate role-playing situations.\n\n### Models Merged\nThe following models were included in the merge:\n\n- **[Nitral-AI/Hathor_Tahsin-L3-8B-v0.85](https://huggingface.co/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85)**: Contributes to rule-following, consistency, and character accuracy.\n- **[v000000/L3.1-Niitorm-8B-DPO-t0.0001](https://huggingface.co/v000000/L3.1-Niitorm-8B-DPO-t0.0001)**: A strong foundation for reasoning and logical responses.\n- **[v000000/L3-8B-Poppy-Moonfall-C](https://huggingface.co/v000000/L3-8B-Poppy-Moonfall-C)**: Focuses on storytelling, imagination, and creative expression.\n\n## Configuration\n\nThe following YAML configuration was used to produce NIHAPPY:\n\n```yaml\nmodels:\n  - model: v000000/L3.1-Niitorm-8B-DPO-t0.0001\n    parameters:\n      weight: 0.35\n      density: 0.65\n  - model: v000000/L3-8B-Poppy-Moonfall-C\n    parameters:\n      weight: 0.45\n      density: 0.65\n  - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85\n    parameters:\n      weight: 0.20\n      density: 0.68\nmerge_method: dare_ties\nbase_model: v000000/L3.1-Niitorm-8B-DPO-t0.0001\nparameters:\n  int8_mask: true\ndtype: bfloat16\n```\n\n## Credits\nThanks to the creators of the models:\n\n- **[Nitral-AI/Hathor_Tahsin-L3-8B-v0.85](https://huggingface.co/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85)**\n- **[v000000/L3.1-Niitorm-8B-DPO-t0.0001](https://huggingface.co/v000000/L3.1-Niitorm-8B-DPO-t0.0001)**\n- **[v000000/L3-8B-Poppy-Moonfall-C](https://huggingface.co/v000000/L3-8B-Poppy-Moonfall-C)**\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "created_at": "2024-10-11T00:39:42.000Z",
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