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mradermacher/gemma-3-27b-it-heretic-i1-gguf IQ1_M 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/gemma-3-27b-it-heretic-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/coder3101/gemma-3-27b-it-heretic For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-GGUF This is a vision model - mmproj files (if any) will be in the static repository.

transformersggufhereticuncensoreddecensoredabliteratedenbase_model:coder3101/gemma-3-27b-it-hereticbase_model:quantized:coder3101/gemma-3-27b-it-hereticlicense:gemmaendpoints_compatibleregion:usimatrixconversational
mradermacher/gemma-3-27b-it-heretic-i1-gguf visual
Downloads
120
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
gemma-3-27b-it-heretic.i1-IQ1_M.gguf GGUF IQ1_M 6.33 GB Download
gemma-3-27b-it-heretic.i1-IQ1_S.gguf GGUF IQ1_S 5.83 GB Download
gemma-3-27b-it-heretic.i1-IQ2_M.gguf GGUF IQ2_M 8.84 GB Download
gemma-3-27b-it-heretic.i1-IQ2_S.gguf GGUF IQ2_S 8.18 GB Download
gemma-3-27b-it-heretic.i1-IQ2_XS.gguf GGUF IQ2_XS 7.86 GB Download
gemma-3-27b-it-heretic.i1-IQ2_XXS.gguf GGUF IQ2_XXS 7.16 GB Download
gemma-3-27b-it-heretic.i1-IQ3_M.gguf GGUF IQ3_M 11.69 GB Download
gemma-3-27b-it-heretic.i1-IQ3_S.gguf GGUF IQ3_S 11.33 GB Download
gemma-3-27b-it-heretic.i1-IQ3_XS.gguf GGUF IQ3_XS 10.77 GB Download
gemma-3-27b-it-heretic.i1-IQ3_XXS.gguf GGUF IQ3_XXS 9.98 GB Download
gemma-3-27b-it-heretic.i1-IQ4_XS.gguf GGUF IQ4_XS 13.75 GB Download
gemma-3-27b-it-heretic.i1-Q2_K.gguf GGUF Q2_K 9.78 GB Download
gemma-3-27b-it-heretic.i1-Q2_K_S.gguf GGUF Q2_K_S 9.09 GB Download
gemma-3-27b-it-heretic.i1-Q3_K_L.gguf GGUF Q3_K_L 13.54 GB Download
gemma-3-27b-it-heretic.i1-Q3_K_M.gguf GGUF Q3_K_M 12.51 GB Download
gemma-3-27b-it-heretic.i1-Q3_K_S.gguf GGUF Q3_K_S 11.33 GB Download
gemma-3-27b-it-heretic.i1-Q4_0.gguf GGUF 14.55 GB Download
gemma-3-27b-it-heretic.i1-Q4_1.gguf GGUF 15.99 GB Download
gemma-3-27b-it-heretic.i1-Q4_K_M.gguf GGUF Q4_K_M 15.41 GB Download
gemma-3-27b-it-heretic.i1-Q4_K_S.gguf GGUF Q4_K_S 14.60 GB Download
gemma-3-27b-it-heretic.i1-Q5_K_M.gguf GGUF Q5_K_M 17.95 GB Download
gemma-3-27b-it-heretic.i1-Q5_K_S.gguf GGUF Q5_K_S 17.48 GB Download
gemma-3-27b-it-heretic.i1-Q6_K.gguf GGUF Q6_K 20.64 GB Download
gemma-3-27b-it-heretic.imatrix.gguf GGUF 12.48 MB Download

Model Details Live

Model Slug
mradermacher/gemma-3-27b-it-heretic-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-11-24
Last Modified
2025-12-06
Gated
No
Private
No
HF SHA
01c2942baa117f20e049e924abb2495dcc9904a7
License
gemma
Language
en
Base Model
coder3101/gemma-3-27b-it-heretic

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "coder3101/gemma-3-27b-it-heretic",
    "extra_gated_button_content": "Acknowledge license",
    "extra_gated_heading": "Access Gemma on Hugging Face",
    "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "gemma",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "uncensored",
      "decensored",
      "abliterated"
    ],
    "frontmatter": {
      "base_model": "coder3101/gemma-3-27b-it-heretic",
      "extra_gated_button_content": "Acknowledge license",
      "extra_gated_heading": "Access Gemma on Hugging Face",
      "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "heretic",
        "uncensored",
        "decensored",
        "abliterated"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/coder3101/gemma-3-27b-it-heretic  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: coder3101/gemma-3-27b-it-heretic\nextra_gated_button_content: Acknowledge license\nextra_gated_heading: Access Gemma on Hugging Face\nextra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and\n  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging\n  Face and click below. Requests are processed immediately.\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- heretic\n- uncensored\n- decensored\n- abliterated\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nweighted/imatrix quants of https://huggingface.co/coder3101/gemma-3-27b-it-heretic\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#gemma-3-27b-it-heretic-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-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/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ1_S.gguf) | i1-IQ1_S | 6.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ1_M.gguf) | i1-IQ1_M | 6.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 7.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ2_XS.gguf) | i1-IQ2_XS | 8.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ2_S.gguf) | i1-IQ2_S | 8.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ2_M.gguf) | i1-IQ2_M | 9.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q2_K_S.gguf) | i1-Q2_K_S | 9.9 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q2_K.gguf) | i1-Q2_K | 10.6 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 10.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ3_XS.gguf) | i1-IQ3_XS | 11.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ3_S.gguf) | i1-IQ3_S | 12.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q3_K_S.gguf) | i1-Q3_K_S | 12.3 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ3_M.gguf) | i1-IQ3_M | 12.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q3_K_M.gguf) | i1-Q3_K_M | 13.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q3_K_L.gguf) | i1-Q3_K_L | 14.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-IQ4_XS.gguf) | i1-IQ4_XS | 14.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q4_0.gguf) | i1-Q4_0 | 15.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q4_K_S.gguf) | i1-Q4_K_S | 15.8 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q4_K_M.gguf) | i1-Q4_K_M | 16.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q4_1.gguf) | i1-Q4_1 | 17.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q5_K_S.gguf) | i1-Q5_K_S | 18.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q5_K_M.gguf) | i1-Q5_K_M | 19.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-27b-it-heretic-i1-GGUF/resolve/main/gemma-3-27b-it-heretic.i1-Q6_K.gguf) | i1-Q6_K | 22.3 | 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",
    "heretic",
    "uncensored",
    "decensored",
    "abliterated",
    "en",
    "base_model:coder3101/gemma-3-27b-it-heretic",
    "base_model:quantized:coder3101/gemma-3-27b-it-heretic",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 120,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-06T10:27:45.000Z",
  "created_at": "2025-11-24T06:04:11.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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