richarderkhov/hjgugugjhuhjggg_-_semi_final-gguf overview

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  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "This is a merge of pre-trained language models created using mergekit.",
    "quick_links": [],
    "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\nsemi_final - GGUF\n- Model creator: https://huggingface.co/Hjgugugjhuhjggg/\n- Original model: https://huggingface.co/Hjgugugjhuhjggg/semi_final/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [semi_final.Q2_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q2_K.gguf) | Q2_K | 1.39GB |\n| [semi_final.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.IQ3_XS.gguf) | IQ3_XS | 1.53GB |\n| [semi_final.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.IQ3_S.gguf) | IQ3_S | 1.59GB |\n| [semi_final.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q3_K_S.gguf) | Q3_K_S | 1.59GB |\n| [semi_final.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.IQ3_M.gguf) | IQ3_M | 1.65GB |\n| [semi_final.Q3_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q3_K.gguf) | Q3_K | 1.73GB |\n| [semi_final.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q3_K_M.gguf) | Q3_K_M | 1.73GB |\n| [semi_final.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q3_K_L.gguf) | Q3_K_L | 1.85GB |\n| [semi_final.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.IQ4_XS.gguf) | IQ4_XS | 1.91GB |\n| [semi_final.Q4_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q4_0.gguf) | Q4_0 | 1.99GB |\n| [semi_final.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.IQ4_NL.gguf) | IQ4_NL | 2.0GB |\n| [semi_final.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q4_K_S.gguf) | Q4_K_S | 2.0GB |\n| [semi_final.Q4_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q4_K.gguf) | Q4_K | 2.09GB |\n| [semi_final.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q4_K_M.gguf) | Q4_K_M | 2.09GB |\n| [semi_final.Q4_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q4_1.gguf) | Q4_1 | 2.18GB |\n| [semi_final.Q5_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q5_0.gguf) | Q5_0 | 2.37GB |\n| [semi_final.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q5_K_S.gguf) | Q5_K_S | 2.37GB |\n| [semi_final.Q5_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q5_K.gguf) | Q5_K | 2.41GB |\n| [semi_final.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q5_K_M.gguf) | Q5_K_M | 2.41GB |\n| [semi_final.Q5_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q5_1.gguf) | Q5_1 | 2.55GB |\n| [semi_final.Q6_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q6_K.gguf) | Q6_K | 2.76GB |\n| [semi_final.Q8_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_semi_final-gguf/blob/main/semi_final.Q8_0.gguf) | Q8_0 | 3.58GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Hjgugugjhuhjggg/mergekit-ties-esawwda\n- huihui-ai/Llama-3.2-3B-Instruct-abliterated\n- Hjgugugjhuhjggg/mergekit-ties-poovzrh\n- Hjgugugjhuhjggg/mergekit-ties-qgcitfu\n- Hjgugugjhuhjggg/mergekit-ties-pghuyfi\n- Hjgugugjhuhjggg/mergekit-ties-xflmond\n- Hjgugugjhuhjggg/mergekit-ties-kmlzhzo\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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Hjgugugjhuhjggg/mergekit-ties-esawwda](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-esawwda)\n* [Hjgugugjhuhjggg/mergekit-ties-poovzrh](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh)\n* [Hjgugugjhuhjggg/mergekit-ties-qgcitfu](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-qgcitfu)\n* [Hjgugugjhuhjggg/mergekit-ties-pghuyfi](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-pghuyfi)\n* [Hjgugugjhuhjggg/mergekit-ties-xflmond](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xflmond)\n* [Hjgugugjhuhjggg/mergekit-ties-kmlzhzo](https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmodels:\n  - model: Hjgugugjhuhjggg/mergekit-ties-poovzrh\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Hjgugugjhuhjggg/mergekit-ties-pghuyfi\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Hjgugugjhuhjggg/mergekit-ties-kmlzhzo\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Hjgugugjhuhjggg/mergekit-ties-esawwda\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Hjgugugjhuhjggg/mergekit-ties-qgcitfu\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: Hjgugugjhuhjggg/mergekit-ties-xflmond\n    parameters:\n      density: 0.5\n      weight: 0.5\n\nmerge_method: ties\nbase_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated\nparameters:\n  normalize: false\n  int8_mask: true\ndtype: float16\n\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2306.01708",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 312,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-29T07:12:19.000Z",
  "created_at": "2025-03-29T06:08:00.000Z",
  "pipeline_tag": "",
  "library_name": ""
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