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mradermacher/forgotten-safeword-36b-4.1-i1-gguf Q3_K_L GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mradermacher/forgotten-safeword-36b-4.1-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/ReadyArt/Forgotten-Safeword-36B-4.1 For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-GGUF

transformersggufnsfwexplicitroleplayunaligneddangerousERPenbase_model:ReadyArt/Forgotten-Safeword-36B-4.1base_model:quantized:ReadyArt/Forgotten-Safeword-36B-4.1license:apache-2.0endpoints_compatibleregion:usimatrixconversational
mradermacher/forgotten-safeword-36b-4.1-i1-gguf visual
Downloads
124
Likes
5
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Forgotten-Safeword-36B-4.1.i1-IQ1_M.gguf GGUF IQ1_M 8.18 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ1_S.gguf GGUF IQ1_S 7.47 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ2_M.gguf GGUF IQ2_M 11.67 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ2_S.gguf GGUF IQ2_S 10.72 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ2_XS.gguf GGUF IQ2_XS 10.35 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ2_XXS.gguf GGUF IQ2_XXS 9.37 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ3_M.gguf GGUF IQ3_M 15.40 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ3_S.gguf GGUF IQ3_S 15.07 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ3_XS.gguf GGUF IQ3_XS 14.29 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ3_XXS.gguf GGUF IQ3_XXS 13.41 GB Download
Forgotten-Safeword-36B-4.1.i1-IQ4_XS.gguf GGUF IQ4_XS 18.50 GB Download
Forgotten-Safeword-36B-4.1.i1-Q2_K.gguf GGUF Q2_K 12.81 GB Download
Forgotten-Safeword-36B-4.1.i1-Q2_K_S.gguf GGUF Q2_K_S 11.96 GB Download
Forgotten-Safeword-36B-4.1.i1-Q3_K_L.gguf GGUF Q3_K_L 18.01 GB Download
Forgotten-Safeword-36B-4.1.i1-Q3_K_M.gguf GGUF Q3_K_M 16.64 GB Download
Forgotten-Safeword-36B-4.1.i1-Q3_K_S.gguf GGUF Q3_K_S 15.02 GB Download
Forgotten-Safeword-36B-4.1.i1-Q4_0.gguf GGUF 19.59 GB Download
Forgotten-Safeword-36B-4.1.i1-Q4_1.gguf GGUF 21.62 GB Download
Forgotten-Safeword-36B-4.1.i1-Q4_K_M.gguf GGUF Q4_K_M 20.84 GB Download
Forgotten-Safeword-36B-4.1.i1-Q4_K_S.gguf GGUF Q4_K_S 19.67 GB Download
Forgotten-Safeword-36B-4.1.i1-Q5_K_M.gguf GGUF Q5_K_M 24.41 GB Download
Forgotten-Safeword-36B-4.1.i1-Q5_K_S.gguf GGUF Q5_K_S 23.73 GB Download
Forgotten-Safeword-36B-4.1.i1-Q6_K.gguf GGUF Q6_K 28.21 GB Download

Model Details Live

Model Slug
mradermacher/forgotten-safeword-36b-4.1-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-03-21
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
a476737fc61315156bd7d335d013c6333d45fcb8
License
apache-2.0
Language
en
Base Model
ReadyArt/Forgotten-Safeword-36B-4.1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "ReadyArt/Forgotten-Safeword-36B-4.1",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "nsfw",
      "explicit",
      "roleplay",
      "unaligned",
      "dangerous",
      "ERP"
    ],
    "frontmatter": {
      "base_model": "ReadyArt/Forgotten-Safeword-36B-4.1",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "nsfw",
        "explicit",
        "roleplay",
        "unaligned",
        "dangerous",
        "ERP"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/ReadyArt/Forgotten-Safeword-36B-4.1  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ReadyArt/Forgotten-Safeword-36B-4.1\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- nsfw\n- explicit\n- roleplay\n- unaligned\n- dangerous\n- ERP\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/ReadyArt/Forgotten-Safeword-36B-4.1\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#Forgotten-Safeword-36B-4.1-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-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/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ1_S.gguf) | i1-IQ1_S | 8.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ1_M.gguf) | i1-IQ1_M | 8.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 11.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ2_S.gguf) | i1-IQ2_S | 11.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ2_M.gguf) | i1-IQ2_M | 12.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.9 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q2_K.gguf) | i1-Q2_K | 13.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 15.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 16.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ3_S.gguf) | i1-IQ3_S | 16.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ3_M.gguf) | i1-IQ3_M | 16.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 18.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 19.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 20.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q4_0.gguf) | i1-Q4_0 | 21.1 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 21.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 22.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q4_1.gguf) | i1-Q4_1 | 23.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 25.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 26.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF/resolve/main/Forgotten-Safeword-36B-4.1.i1-Q6_K.gguf) | i1-Q6_K | 30.4 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "nsfw",
    "explicit",
    "roleplay",
    "unaligned",
    "dangerous",
    "ERP",
    "en",
    "base_model:ReadyArt/Forgotten-Safeword-36B-4.1",
    "base_model:quantized:ReadyArt/Forgotten-Safeword-36B-4.1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 5,
  "downloads": 124,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T08:28:14.000Z",
  "created_at": "2025-03-21T02:18:05.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/Forgotten-Safeword-36B-4.1-i1-GGUF",
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  "author": "mradermacher",
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  "siblings_count": 26
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