mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-gguf IQ4_NL 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-3-12b-it-qat-int4-unquantized-heretic-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/megabytes/gemma-3-12b-qat-int4-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-3-12b-it-qat-int4-unquantized-heretic-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
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transformers
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Repository Files & Downloads
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ1_M.gguf | GGUF | IQ1_M | 2.95 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ1_S.gguf | GGUF | IQ1_S | 2.74 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_M.gguf | GGUF | IQ2_M | 4.01 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_S.gguf | GGUF | IQ2_S | 3.74 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 3.58 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 3.28 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_M.gguf | GGUF | IQ3_M | 5.27 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_S.gguf | GGUF | IQ3_S | 5.08 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 4.85 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 4.46 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 6.41 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 6.10 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q2_K.gguf | GGUF | Q2_K | 4.44 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 4.14 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 6.04 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 5.60 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 5.08 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_0.gguf | GGUF | — | 6.43 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_1.gguf | GGUF | — | 7.04 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 6.80 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 6.46 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 7.87 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 7.67 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q6_K.gguf | GGUF | Q6_K | 9.00 GB | Download |
| gemma-3-12b-it-qat-int4-unquantized-heretic.imatrix.gguf | GGUF | — | 7.13 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "megabytes/gemma-3-12b-qat-int4-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.",
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"abliterated"
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"base_model": "megabytes/gemma-3-12b-qat-int4-heretic",
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"summary": "## About weighted/imatrix quants of https://huggingface.co/megabytes/gemma-3-12b-qat-int4-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-3-12b-it-qat-int4-unquantized-heretic-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
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"readme_markdown": "---\nbase_model: megabytes/gemma-3-12b-qat-int4-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- gemma3\n- gemma\n- google\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/megabytes/gemma-3-12b-qat-int4-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-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-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-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_XS.gguf) | i1-IQ2_XS | 3.9 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_S.gguf) | i1-IQ2_S | 4.1 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ2_M.gguf) | i1-IQ2_M | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 4.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.3 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_S.gguf) | i1-IQ3_S | 5.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.1 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.7 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_0.gguf) | i1-Q4_0 | 7.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q4_1.gguf) | i1-Q4_1 | 7.7 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.3 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.5 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-3-12b-it-qat-int4-unquantized-heretic-i1-GGUF/resolve/main/gemma-3-12b-it-qat-int4-unquantized-heretic.i1-Q6_K.gguf) | i1-Q6_K | 9.8 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\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",
"gemma3",
"gemma",
"google",
"heretic",
"uncensored",
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"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 1,
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"last_modified": "2026-02-22T20:18:25.000Z",
"created_at": "2026-01-29T16:42:46.000Z",
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Source payload excerpt (from Hugging Face API)
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