mradermacher/wizardlm-30b-uncensored-guanaco-supercot-30b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b",
    "datasets": [
      "ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
      "kaiokendev/SuperCOT-dataset",
      "neulab/conala",
      "yahma/alpaca-cleaned",
      "QingyiSi/Alpaca-CoT",
      "timdettmers/guanaco-33b",
      "JosephusCheung/GuanacoDataset"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "other",
    "quantized_by": "mradermacher",
    "tags": [
      "uncensored"
    ],
    "frontmatter": {
      "base_model": "Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b",
      "datasets": [
        "ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
        "kaiokendev/SuperCOT-dataset",
        "neulab/conala",
        "yahma/alpaca-cleaned",
        "QingyiSi/Alpaca-CoT",
        "timdettmers/guanaco-33b",
        "JosephusCheung/GuanacoDataset"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "other",
      "quantized_by": "mradermacher",
      "tags": [
        "uncensored"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b  weighted/imatrix quants are available at https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b\ndatasets:\n- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered\n- kaiokendev/SuperCOT-dataset\n- neulab/conala\n- yahma/alpaca-cleaned\n- QingyiSi/Alpaca-CoT\n- timdettmers/guanaco-33b\n- JosephusCheung/GuanacoDataset\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nquantized_by: mradermacher\ntags:\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/Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-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/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q2_K.gguf) | Q2_K | 12.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_XS.gguf) | IQ3_XS | 13.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_S.gguf) | IQ3_S | 14.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_S.gguf) | Q3_K_S | 14.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_M.gguf) | IQ3_M | 15.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_M.gguf) | Q3_K_M | 15.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_L.gguf) | Q3_K_L | 17.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ4_XS.gguf) | IQ4_XS | 17.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q4_K_S.gguf) | Q4_K_S | 18.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q4_K_M.gguf) | Q4_K_M | 19.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q5_K_S.gguf) | Q5_K_S | 22.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q5_K_M.gguf) | Q5_K_M | 23.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q6_K.gguf) | Q6_K | 26.8 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q8_0.gguf) | Q8_0 | 34.7 | 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",
    "uncensored",
    "en",
    "dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
    "dataset:kaiokendev/SuperCOT-dataset",
    "dataset:neulab/conala",
    "dataset:yahma/alpaca-cleaned",
    "dataset:QingyiSi/Alpaca-CoT",
    "dataset:timdettmers/guanaco-33b",
    "dataset:JosephusCheung/GuanacoDataset",
    "base_model:Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b",
    "base_model:quantized:Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b",
    "license:other",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 2,
  "downloads": 117,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-05T05:14:52.000Z",
  "created_at": "2024-08-04T20:11:58.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "createdAt": "2024-08-04T20:11:58.000Z",
  "lastModified": "2024-08-05T05:14:52.000Z",
  "author": "mradermacher",
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