mradermacher/aya-expanse-32b-abliterated-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "huihui-ai/aya-expanse-32b-abliterated",
    "extra_gated_fields": {
      "Affiliation": "text",
      "Country": "country",
      "I agree to use this model for non-commercial use ONLY": "checkbox",
      "Name": "text"
    },
    "extra_gated_prompt": "By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and acknowledge that the information you provide will be collected, used, and shared in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll receive email updates about C4AI and Cohere research, events, products and services. You can unsubscribe at any time.",
    "language": [
      "en",
      "fr",
      "de",
      "es",
      "it",
      "pt",
      "ja",
      "ko",
      "zh",
      "ar",
      "el",
      "fa",
      "pl",
      "id",
      "cs",
      "he",
      "hi",
      "nl",
      "ro",
      "ru",
      "tr",
      "uk",
      "vi"
    ],
    "library_name": "transformers",
    "license": "cc-by-nc-4.0",
    "quantized_by": "mradermacher",
    "tags": [
      "abliterated",
      "uncensored"
    ],
    "frontmatter": {
      "base_model": "huihui-ai/aya-expanse-32b-abliterated",
      "extra_gated_fields": [],
      "extra_gated_prompt": "By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and",
      "language": [
        "en",
        "fr",
        "de",
        "es",
        "it",
        "pt",
        "ja",
        "ko",
        "zh",
        "ar",
        "el",
        "fa",
        "pl",
        "id",
        "cs",
        "he",
        "hi",
        "nl",
        "ro",
        "ru",
        "tr",
        "uk",
        "vi"
      ],
      "library_name": "transformers",
      "license": "cc-by-nc-4.0",
      "quantized_by": "mradermacher",
      "tags": [
        "abliterated",
        "uncensored"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated  weighted/imatrix quants are available at https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: huihui-ai/aya-expanse-32b-abliterated\nextra_gated_fields:\n  Affiliation: text\n  Country: country\n  I agree to use this model for non-commercial use ONLY: checkbox\n  Name: text\nextra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and\n  acknowledge that the information you provide will be collected, used, and shared\n  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll\n  receive email updates about C4AI and Cohere research, events, products and services.\n  You can unsubscribe at any time.\nlanguage:\n- en\n- fr\n- de\n- es\n- it\n- pt\n- ja\n- ko\n- zh\n- ar\n- el\n- fa\n- pl\n- id\n- cs\n- he\n- hi\n- nl\n- ro\n- ru\n- tr\n- uk\n- vi\nlibrary_name: transformers\nlicense: cc-by-nc-4.0\nquantized_by: mradermacher\ntags:\n- abliterated\n- uncensored\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q2_K.gguf) | Q2_K | 12.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q3_K_S.gguf) | Q3_K_S | 14.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q3_K_M.gguf) | Q3_K_M | 16.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q3_K_L.gguf) | Q3_K_L | 17.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.IQ4_XS.gguf) | IQ4_XS | 18.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q4_K_M.gguf) | Q4_K_M | 19.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q5_K_S.gguf) | Q5_K_S | 22.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q5_K_M.gguf) | Q5_K_M | 23.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q6_K.gguf) | Q6_K | 26.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-32b-abliterated-GGUF/resolve/main/aya-expanse-32b-abliterated.Q8_0.gguf) | Q8_0 | 34.4 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "abliterated",
    "uncensored",
    "en",
    "fr",
    "de",
    "es",
    "it",
    "pt",
    "ja",
    "ko",
    "zh",
    "ar",
    "el",
    "fa",
    "pl",
    "id",
    "cs",
    "he",
    "hi",
    "nl",
    "ro",
    "ru",
    "tr",
    "uk",
    "vi",
    "license:cc-by-nc-4.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 4,
  "downloads": 237,
  "gated": false,
  "private": false,
  "last_modified": "2024-12-15T05:44:18.000Z",
  "created_at": "2024-12-15T01:44:18.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "675e34725dca7e3c5caea74a",
  "id": "mradermacher/aya-expanse-32b-abliterated-GGUF",
  "modelId": "mradermacher/aya-expanse-32b-abliterated-GGUF",
  "sha": "59793b967a9b20b3d4943bec32d7c0b2d28ec0ae",
  "createdAt": "2024-12-15T01:44:18.000Z",
  "lastModified": "2024-12-15T05:44:18.000Z",
  "author": "mradermacher",
  "downloads": 237,
  "likes": 4,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 13
}