mradermacher/deep-ignorance-unfiltered-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "EleutherAI/deep-ignorance-unfiltered",
    "datasets": [
      "EleutherAI/deep-ignorance-pretraining-mix",
      "EleutherAI/deep-ignorance-annealing-mix"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "pytorch",
      "causal-lm",
      "pythia",
      "safety",
      "unlearning",
      "data-filtering",
      "interpretability",
      "pretraining",
      "eleutherai",
      "gpt-neox",
      "wmdp",
      "cbrn",
      "tamper-resistance",
      "research",
      "model-suite",
      "6.9b",
      "circuit-breaking",
      "knowledge-filtering",
      "open-weight",
      "biothreat",
      "safety-research",
      "model-diffing",
      "training-dynamics"
    ],
    "frontmatter": {
      "base_model": "EleutherAI/deep-ignorance-unfiltered",
      "datasets": [
        "EleutherAI/deep-ignorance-pretraining-mix",
        "EleutherAI/deep-ignorance-annealing-mix"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "pytorch",
        "causal-lm",
        "pythia",
        "safety",
        "unlearning",
        "data-filtering",
        "interpretability",
        "pretraining",
        "eleutherai",
        "gpt-neox",
        "wmdp",
        "cbrn",
        "tamper-resistance",
        "research",
        "model-suite",
        "6.9b",
        "circuit-breaking",
        "knowledge-filtering",
        "open-weight",
        "biothreat",
        "safety-research",
        "model-diffing",
        "training-dynamics"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/EleutherAI/deep-ignorance-unfiltered  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: EleutherAI/deep-ignorance-unfiltered\ndatasets:\n- EleutherAI/deep-ignorance-pretraining-mix\n- EleutherAI/deep-ignorance-annealing-mix\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- pytorch\n- causal-lm\n- pythia\n- safety\n- unlearning\n- data-filtering\n- interpretability\n- pretraining\n- eleutherai\n- gpt-neox\n- wmdp\n- cbrn\n- tamper-resistance\n- research\n- model-suite\n- 6.9b\n- circuit-breaking\n- knowledge-filtering\n- open-weight\n- biothreat\n- safety-research\n- model-diffing\n- training-dynamics\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/EleutherAI/deep-ignorance-unfiltered\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#deep-ignorance-unfiltered-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q2_K.gguf) | Q2_K | 2.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q3_K_S.gguf) | Q3_K_S | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q3_K_M.gguf) | Q3_K_M | 3.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.IQ4_XS.gguf) | IQ4_XS | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q3_K_L.gguf) | Q3_K_L | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q4_K_S.gguf) | Q4_K_S | 4.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q5_K_S.gguf) | Q5_K_S | 4.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q6_K.gguf) | Q6_K | 5.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.Q8_0.gguf) | Q8_0 | 7.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/deep-ignorance-unfiltered-GGUF/resolve/main/deep-ignorance-unfiltered.f16.gguf) | f16 | 13.8 | 16 bpw, overkill |\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",
    "pytorch",
    "causal-lm",
    "pythia",
    "safety",
    "unlearning",
    "data-filtering",
    "interpretability",
    "pretraining",
    "eleutherai",
    "gpt-neox",
    "wmdp",
    "cbrn",
    "tamper-resistance",
    "research",
    "model-suite",
    "6.9b",
    "circuit-breaking",
    "knowledge-filtering",
    "open-weight",
    "biothreat",
    "safety-research",
    "model-diffing",
    "training-dynamics",
    "en",
    "dataset:EleutherAI/deep-ignorance-pretraining-mix",
    "dataset:EleutherAI/deep-ignorance-annealing-mix",
    "base_model:EleutherAI/deep-ignorance-unfiltered",
    "base_model:quantized:EleutherAI/deep-ignorance-unfiltered",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 177,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-11T02:13:30.000Z",
  "created_at": "2025-07-27T07:14:14.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "6885d1c60774fc6307e80d07",
  "id": "mradermacher/deep-ignorance-unfiltered-GGUF",
  "modelId": "mradermacher/deep-ignorance-unfiltered-GGUF",
  "sha": "0171048f4c7229bf9e841fa567402def1414175b",
  "createdAt": "2025-07-27T07:14:14.000Z",
  "lastModified": "2025-08-11T02:13:30.000Z",
  "author": "mradermacher",
  "downloads": 177,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 14
}