richarderkhov/arcee-ai_-_saul-instruct-clown-7b-gguf overview

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    "hero_image_url": "https://cdn.prod.arcee.ai/images/saul-calme.jpeg",
    "summary": "Saul-Instruct-Clown-7b is a merge of the following models using mergekit: * CorticalStack/pastiche-crown-clown-7b-dare-dpo * Equall/Saul-Instruct-v1",
    "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\nSaul-Instruct-Clown-7b - GGUF\n- Model creator: https://huggingface.co/arcee-ai/\n- Original model: https://huggingface.co/arcee-ai/Saul-Instruct-Clown-7b/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Saul-Instruct-Clown-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q2_K.gguf) | Q2_K | 2.53GB |\n| [Saul-Instruct-Clown-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [Saul-Instruct-Clown-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [Saul-Instruct-Clown-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [Saul-Instruct-Clown-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [Saul-Instruct-Clown-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q3_K.gguf) | Q3_K | 3.28GB |\n| [Saul-Instruct-Clown-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [Saul-Instruct-Clown-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [Saul-Instruct-Clown-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [Saul-Instruct-Clown-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [Saul-Instruct-Clown-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [Saul-Instruct-Clown-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [Saul-Instruct-Clown-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q4_K.gguf) | Q4_K | 4.07GB |\n| [Saul-Instruct-Clown-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [Saul-Instruct-Clown-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [Saul-Instruct-Clown-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [Saul-Instruct-Clown-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [Saul-Instruct-Clown-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q5_K.gguf) | Q5_K | 4.78GB |\n| [Saul-Instruct-Clown-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [Saul-Instruct-Clown-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [Saul-Instruct-Clown-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.Q6_K.gguf) | Q6_K | 5.53GB |\n| [Saul-Instruct-Clown-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/arcee-ai_-_Saul-Instruct-Clown-7b-gguf/blob/main/Saul-Instruct-Clown-7b.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- CorticalStack/pastiche-crown-clown-7b-dare-dpo\n- Equall/Saul-Instruct-v1\n---\n\n![image/webp](https://cdn.prod.arcee.ai/images/saul-calme.jpeg)\n\n# Saul-Instruct-Clown-7b\n\nSaul-Instruct-Clown-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n* [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo)\n* [Equall/Saul-Instruct-v1](https://huggingface.co/Equall/Saul-Instruct-v1)\n\n## 🏆 Evaluation\n\n### OpenLLM\n\nSaul-Instruct-Clown-7b OpenLLM benchmark suite\n\n| Model | Average | arc | HellaSwag | mmlu | TruthfulQA | gsm8k |\n|---|---:|---:|---:|---:|---:|---:|\n| [arcee-ai/Saul-Instruct-Clown-7b](https://huggingface.co/arcee-ai/Saul-Instruct-Clown-7b/) | 72.79 | 68.26 | 86.28 | 63.12 | 64.68 | 83.43 | 70.96 |\n\n\n## 🧩 Configuration\n\n```yaml\n  slices:\n    - sources:\n        - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo\n          layer_range: [0, 32]\n        - model: Equall/Saul-Instruct-v1\n          layer_range: [0, 32]\n  merge_method: slerp\n  base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo\n  parameters:\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\n  dtype: bfloat16\n\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 1,
  "downloads": 324,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-13T04:34:01.000Z",
  "created_at": "2024-09-12T23:28:21.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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