Model Intelligence Sheet
mradermacher/safeword-casual-v1-r1-12b-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/ReadyArt/Safeword-Casual-V1-R1-12B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
Downloads
178
Likes
3
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
25 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Safeword-Casual-V1-R1-12B.i1-IQ1_M.gguf | GGUF | IQ1_M | 2.95 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ1_S.gguf | GGUF | IQ1_S | 2.74 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ2_M.gguf | GGUF | IQ2_M | 4.01 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ2_S.gguf | GGUF | IQ2_S | 3.74 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 3.58 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 3.28 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ3_M.gguf | GGUF | IQ3_M | 5.27 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ3_S.gguf | GGUF | IQ3_S | 5.08 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 4.85 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 4.46 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 6.41 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 6.10 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q2_K.gguf | GGUF | Q2_K | 4.44 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 4.14 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 6.04 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 5.60 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 5.08 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q4_0.gguf | GGUF | — | 6.43 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q4_1.gguf | GGUF | — | 7.04 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 6.80 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 6.46 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 7.87 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 7.67 GB | Download |
| Safeword-Casual-V1-R1-12B.i1-Q6_K.gguf | GGUF | Q6_K | 9.00 GB | Download |
| Safeword-Casual-V1-R1-12B.imatrix.gguf | GGUF | — | 7.13 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "ReadyArt/Safeword-Casual-V1-R1-12B",
"language": [
"en"
],
"library_name": "transformers",
"license": "gemma",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP"
],
"frontmatter": {
"base_model": "ReadyArt/Safeword-Casual-V1-R1-12B",
"language": [
"en"
],
"library_name": "transformers",
"license": "gemma",
"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/Safeword-Casual-V1-R1-12B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-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: ReadyArt/Safeword-Casual-V1-R1-12B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\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 -->\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/ReadyArt/Safeword-Casual-V1-R1-12B\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#Safeword-Casual-V1-R1-12B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-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/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 3.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ2_S.gguf) | i1-IQ2_S | 4.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ2_M.gguf) | i1-IQ2_M | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 4.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ3_S.gguf) | i1-IQ3_S | 5.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.1 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q4_0.gguf) | i1-Q4_0 | 7.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q4_1.gguf) | i1-Q4_1 | 7.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Safeword-Casual-V1-R1-12B-i1-GGUF/resolve/main/Safeword-Casual-V1-R1-12B.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",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"en",
"base_model:ReadyArt/Safeword-Casual-V1-R1-12B",
"base_model:quantized:ReadyArt/Safeword-Casual-V1-R1-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 3,
"downloads": 178,
"gated": false,
"private": false,
"last_modified": "2025-12-28T20:26:04.000Z",
"created_at": "2025-09-03T21:15:56.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"sha": "c904472208b5d4ee8cfead3ca4f94039d2e312aa",
"createdAt": "2025-09-03T21:15:56.000Z",
"lastModified": "2025-12-28T20:26:04.000Z",
"author": "mradermacher",
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