richarderkhov/liminerity_-_neurotic-jomainotrik-7b-slerp-gguf overview

{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "Neurotic-Jomainotrik-7b-slerp is a merge of the following models using mergekit: * liminerity/merge * bardsai/jaskier-7b-dpo-v5.6",
    "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\nNeurotic-Jomainotrik-7b-slerp - GGUF\n- Model creator: https://huggingface.co/liminerity/\n- Original model: https://huggingface.co/liminerity/Neurotic-Jomainotrik-7b-slerp/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Neurotic-Jomainotrik-7b-slerp.Q2_K.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q2_K.gguf) | Q2_K | 2.53GB |\n| [Neurotic-Jomainotrik-7b-slerp.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [Neurotic-Jomainotrik-7b-slerp.IQ3_S.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [Neurotic-Jomainotrik-7b-slerp.IQ3_M.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q3_K.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q3_K.gguf) | Q3_K | 3.28GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [Neurotic-Jomainotrik-7b-slerp.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q4_0.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [Neurotic-Jomainotrik-7b-slerp.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q4_K.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q4_K.gguf) | Q4_K | 4.07GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q4_1.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q5_0.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q5_K.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q5_K.gguf) | Q5_K | 4.78GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q5_1.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q6_K.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q6_K.gguf) | Q6_K | 5.53GB |\n| [Neurotic-Jomainotrik-7b-slerp.Q8_0.gguf](https://huggingface.co/RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf/blob/main/Neurotic-Jomainotrik-7b-slerp.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\ntags:\n- merge\n- mergekit\n- lazymergekit\n- liminerity/merge\n- bardsai/jaskier-7b-dpo-v5.6\nmodel-index:\n- name: Neurotic-Jomainotrik-7b-slerp\n  results:\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: AI2 Reasoning Challenge (25-Shot)\n      type: ai2_arc\n      config: ARC-Challenge\n      split: test\n      args:\n        num_few_shot: 25\n    metrics:\n    - type: acc_norm\n      value: 72.95\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: HellaSwag (10-Shot)\n      type: hellaswag\n      split: validation\n      args:\n        num_few_shot: 10\n    metrics:\n    - type: acc_norm\n      value: 89.15\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MMLU (5-Shot)\n      type: cais/mmlu\n      config: all\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 64.28\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: TruthfulQA (0-shot)\n      type: truthful_qa\n      config: multiple_choice\n      split: validation\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: mc2\n      value: 77.64\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: Winogrande (5-shot)\n      type: winogrande\n      config: winogrande_xl\n      split: validation\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 85.4\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: GSM8k (5-shot)\n      type: gsm8k\n      config: main\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 68.99\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/Neurotic-Jomainotrik-7b-slerp\n      name: Open LLM Leaderboard\n---\n\n# Neurotic-Jomainotrik-7b-slerp\n\nNeurotic-Jomainotrik-7b-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n* [liminerity/merge](https://huggingface.co/liminerity/merge)\n* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)\n\n## 🧩 Configuration\n\n```yaml\nslices:\n  - sources:\n      - model: liminerity/merge\n        layer_range: [0, 32]\n      - model: bardsai/jaskier-7b-dpo-v5.6\n        layer_range: [0, 32]\nmerge_method: slerp\nbase_model: liminerity/merge\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: float16\n\n```\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Neurotic-Jomainotrik-7b-slerp)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |76.40|\n|AI2 Reasoning Challenge (25-Shot)|72.95|\n|HellaSwag (10-Shot)              |89.15|\n|MMLU (5-Shot)                    |64.28|\n|TruthfulQA (0-shot)              |77.64|\n|Winogrande (5-shot)              |85.40|\n|GSM8k (5-shot)                   |68.99|\n\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 116,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-09T08:10:47.000Z",
  "created_at": "2024-09-09T02:49:26.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

{
  "_id": "66de6236be2206cfaae3751d",
  "id": "RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf",
  "modelId": "RichardErkhov/liminerity_-_Neurotic-Jomainotrik-7b-slerp-gguf",
  "sha": "de333190282bd66b79e4457055c12ebaa2031f04",
  "createdAt": "2024-09-09T02:49:26.000Z",
  "lastModified": "2024-09-09T08:10:47.000Z",
  "author": "RichardErkhov",
  "downloads": 116,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 24
}