richarderkhov/sakalti_-_mont-normal-gguf overview

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    "summary": "This is a merge of pre-trained language models created using mergekit.",
    "quick_links": [],
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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\nmont-normal - GGUF\n- Model creator: https://huggingface.co/Sakalti/\n- Original model: https://huggingface.co/Sakalti/mont-normal/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [mont-normal.Q2_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q2_K.gguf) | Q2_K | 0.29GB |\n| [mont-normal.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.IQ3_XS.gguf) | IQ3_XS | 0.29GB |\n| [mont-normal.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.IQ3_S.gguf) | IQ3_S | 0.29GB |\n| [mont-normal.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q3_K_S.gguf) | Q3_K_S | 0.29GB |\n| [mont-normal.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.IQ3_M.gguf) | IQ3_M | 0.29GB |\n| [mont-normal.Q3_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q3_K.gguf) | Q3_K | 0.3GB |\n| [mont-normal.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q3_K_M.gguf) | Q3_K_M | 0.3GB |\n| [mont-normal.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q3_K_L.gguf) | Q3_K_L | 0.3GB |\n| [mont-normal.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.IQ4_XS.gguf) | IQ4_XS | 0.3GB |\n| [mont-normal.Q4_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q4_0.gguf) | Q4_0 | 0.3GB |\n| [mont-normal.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.IQ4_NL.gguf) | IQ4_NL | 0.3GB |\n| [mont-normal.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q4_K_S.gguf) | Q4_K_S | 0.33GB |\n| [mont-normal.Q4_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q4_K.gguf) | Q4_K | 0.33GB |\n| [mont-normal.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q4_K_M.gguf) | Q4_K_M | 0.33GB |\n| [mont-normal.Q4_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q4_1.gguf) | Q4_1 | 0.32GB |\n| [mont-normal.Q5_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q5_0.gguf) | Q5_0 | 0.33GB |\n| [mont-normal.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q5_K_S.gguf) | Q5_K_S | 0.35GB |\n| [mont-normal.Q5_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q5_K.gguf) | Q5_K | 0.35GB |\n| [mont-normal.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q5_K_M.gguf) | Q5_K_M | 0.35GB |\n| [mont-normal.Q5_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q5_1.gguf) | Q5_1 | 0.35GB |\n| [mont-normal.Q6_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q6_K.gguf) | Q6_K | 0.43GB |\n| [mont-normal.Q8_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_mont-normal-gguf/blob/main/mont-normal.Q8_0.gguf) | Q8_0 | 0.44GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Qwen/Qwen2.5-0.5B-Instruct\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 [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nslices:\n  - sources:\n      - model: Qwen/Qwen2.5-0.5B-Instruct\n        layer_range: [0, 11]\n      - model: Qwen/Qwen2.5-0.5B-Instruct\n        layer_range: [12, 23]\nmerge_method: ties\nbase_model: Qwen/Qwen2.5-0.5B-Instruct\nparameters:\n  t:\n    - filter: self_attn\n      value: [0.1, 0.3, 0.5, 0.7, 0.9]\n    - filter: mlp\n      value: [0.1, 0.3, 0.5, 0.7, 0.9]\n    - value: 0.5\ndtype: bfloat16\n\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2306.01708",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
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  "last_modified": "2025-03-02T22:17:43.000Z",
  "created_at": "2025-03-02T21:59:46.000Z",
  "pipeline_tag": "",
  "library_name": ""
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  "author": "RichardErkhov",
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