lewdiculous/kool-aid_7b-gguf-iq-imatrix overview

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      "library_name": "transformers",
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    "summary": "!image/jpeg This is a merge of pre-trained language models created using mergekit.",
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    "readme_markdown": "---\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n- roleplay\n- mistral\ninference: false\nlicense: other\n---\n\nThis repository hosts GGUF-IQ-Imatrix quants for [ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b](https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b).\n\n**What does \"Imatrix\" mean?**\n\nIt stands for **Importance Matrix**, a technique used to improve the quality of quantized models.\nThe **Imatrix** is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process.\nThe idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse.\n[[1]](https://github.com/ggerganov/llama.cpp/discussions/5006) [[2]](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)\n\nFor imatrix data generation, kalomaze's `groups_merged.txt` with added roleplay chats was used, you can find it [here](https://huggingface.co/Lewdiculous/Datura_7B-GGUF-Imatrix/blob/main/imatrix-with-rp-format-data.txt). This was just to add a bit more diversity to the data.\n\n**Steps:**\n\n```\nBase⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)\n```\n*Using the latest llama.cpp at the time.*\n\n```python\n    quantization_options = [\n        \"Q4_K_M\", \"Q4_K_S\", \"IQ4_XS\", \"Q5_K_M\", \"Q5_K_S\",\n        \"Q6_K\", \"Q8_0\", \"IQ3_M\", \"IQ3_S\", \"IQ3_XXS\"\n    ]\n```\n\n---\n\n# Kool-Aid\n\n![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/Bpz3HVIKPaEn_Sz6OD86Z.jpeg)\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* ErosEris\n* CookieNexus\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nslices:\n  - sources:\n      - model: CookieNexus\n        layer_range: [0, 32]\n      - model: ErosEris\n        layer_range: [0, 32]\nmerge_method: slerp\nbase_model: CookieNexus\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```",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mergekit",
    "merge",
    "roleplay",
    "mistral",
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    "region:us"
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  "last_modified": "2024-03-15T16:39:02.000Z",
  "created_at": "2024-03-15T15:01:13.000Z",
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  "id": "Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix",
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  "createdAt": "2024-03-15T15:01:13.000Z",
  "lastModified": "2024-03-15T16:39:02.000Z",
  "author": "Lewdiculous",
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