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mradermacher/gpt-2.5.2-nsfw-codex-0.4b-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/gpt-2.5.2-nsfw-codex-0.4b-gguf overview

About static quants of https://huggingface.co/WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B 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.

transformersggufendataset:TeichAI/gpt-5.1-codex-max-1000xdataset:TeichAI/gpt-5.2-high-reasoning-250xdataset:jjmachan/NSFW-redditdataset:gss1147/GPT-2-to-GPT-5-5kdataset:TeichAI/gpt-5-codex-250xdataset:TeichAI/gpt-5.1-high-reasoning-1000xbase_model:WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4Bbase_model:quantized:WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4Bendpoints_compatibleregion:usnot-for-all-audiences
mradermacher/gpt-2.5.2-nsfw-codex-0.4b-gguf visual
Downloads
168
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
GPT-2.5.2-NSFW-Codex-0.4B.IQ4_XS.gguf GGUF IQ4_XS 202.06 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q2_K.gguf GGUF Q2_K 153.88 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_L.gguf GGUF Q3_K_L 211.44 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_M.gguf GGUF Q3_K_M 196.94 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_S.gguf GGUF Q3_K_S 170.94 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q4_K_M.gguf GGUF Q4_K_M 230.56 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q4_K_S.gguf GGUF Q4_K_S 210.69 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q5_K_M.gguf GGUF Q5_K_M 261.13 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q5_K_S.gguf GGUF Q5_K_S 245.19 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q6_K.gguf GGUF Q6_K 283.44 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.Q8_0.gguf GGUF 365.08 MB Download
GPT-2.5.2-NSFW-Codex-0.4B.f16.gguf GGUF F16 681.09 MB Download

Model Details Live

Model Slug
mradermacher/gpt-2.5.2-nsfw-codex-0.4b-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-03-02
Last Modified
2026-03-04
Gated
No
Private
No
HF SHA
1831126d55e3fed4830d37f142d052caec01ea96
License
Unknown
Language
en
Base Model
WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B",
    "datasets": [
      "TeichAI/gpt-5.1-codex-max-1000x",
      "TeichAI/gpt-5.2-high-reasoning-250x",
      "jjmachan/NSFW-reddit",
      "gss1147/GPT-2-to-GPT-5-5k",
      "TeichAI/gpt-5-codex-250x",
      "TeichAI/gpt-5.1-high-reasoning-1000x"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B",
      "datasets": [
        "TeichAI/gpt-5.1-codex-max-1000x",
        "TeichAI/gpt-5.2-high-reasoning-250x",
        "jjmachan/NSFW-reddit",
        "gss1147/GPT-2-to-GPT-5-5k",
        "TeichAI/gpt-5-codex-250x",
        "TeichAI/gpt-5.1-high-reasoning-1000x"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B  ***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: WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B\ndatasets:\n- TeichAI/gpt-5.1-codex-max-1000x\n- TeichAI/gpt-5.2-high-reasoning-250x\n- jjmachan/NSFW-reddit\n- gss1147/GPT-2-to-GPT-5-5k\n- TeichAI/gpt-5-codex-250x\n- TeichAI/gpt-5.1-high-reasoning-1000x\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\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/WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B\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#GPT-2.5.2-NSFW-Codex-0.4B-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/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q2_K.gguf) | Q2_K | 0.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_S.gguf) | Q3_K_S | 0.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_M.gguf) | Q3_K_M | 0.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.IQ4_XS.gguf) | IQ4_XS | 0.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q4_K_S.gguf) | Q4_K_S | 0.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q3_K_L.gguf) | Q3_K_L | 0.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q4_K_M.gguf) | Q4_K_M | 0.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q5_K_S.gguf) | Q5_K_S | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q5_K_M.gguf) | Q5_K_M | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q6_K.gguf) | Q6_K | 0.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.Q8_0.gguf) | Q8_0 | 0.5 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF/resolve/main/GPT-2.5.2-NSFW-Codex-0.4B.f16.gguf) | f16 | 0.8 | 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",
    "en",
    "dataset:TeichAI/gpt-5.1-codex-max-1000x",
    "dataset:TeichAI/gpt-5.2-high-reasoning-250x",
    "dataset:jjmachan/NSFW-reddit",
    "dataset:gss1147/GPT-2-to-GPT-5-5k",
    "dataset:TeichAI/gpt-5-codex-250x",
    "dataset:TeichAI/gpt-5.1-high-reasoning-1000x",
    "base_model:WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B",
    "base_model:quantized:WithinUsAI/GPT-2.5.2-NSFW-Codex-0.4B",
    "endpoints_compatible",
    "region:us",
    "not-for-all-audiences"
  ],
  "likes": 1,
  "downloads": 168,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-04T03:44:45.000Z",
  "created_at": "2026-03-02T03:36:03.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
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  "id": "mradermacher/GPT-2.5.2-NSFW-Codex-0.4B-GGUF",
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  "sha": "1831126d55e3fed4830d37f142d052caec01ea96",
  "createdAt": "2026-03-02T03:36:03.000Z",
  "lastModified": "2026-03-04T03:44:45.000Z",
  "author": "mradermacher",
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  "siblings_count": 14
}