mradermacher/gemma-4-e4b-it-the-deckard-v2-strong-heretic-uncensored-thinking-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.
mradermacher/gemma-4-e4b-it-the-deckard-v2-strong-heretic-uncensored-thinking-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ3_M.gguf | GGUF | IQ3_M | 4.39 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ3_S.gguf | GGUF | IQ3_S | 4.34 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 4.84 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 4.72 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q2_K.gguf | GGUF | Q2_K | 4.10 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 4.68 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 4.52 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 4.33 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_0.gguf | GGUF | — | 4.84 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_1.gguf | GGUF | — | 5.06 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 4.97 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 4.85 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 5.37 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 5.30 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q6_K.gguf | GGUF | Q6_K | 5.79 GB | Download |
| gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.imatrix.gguf | GGUF | — | 4.22 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"base_model": "DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking",
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"summary": "## About weighted/imatrix quants of https://huggingface.co/DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
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"readme_markdown": "---\nbase_model: DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- heretic\n- uncensored\n- aliterated\n- finetune\n- unsloth\n- finetune\n- all use cases\n- coder\n- creative\n- creative writing\n- fiction writing\n- plot generation\n- sub-plot generation\n- fiction writing\n- story generation\n- scene continue\n- storytelling\n- fiction story\n- science fiction\n- romance\n- all genres\n- story\n- writing\n- vivid prosing\n- vivid writing\n- fiction\n- roleplaying\n- bfloat16\n- all use cases\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/DavidAU/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking\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-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-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-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q2_K.gguf) | i1-Q2_K | 4.5 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_S.gguf) | i1-Q3_K_S | 4.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ3_S.gguf) | i1-IQ3_S | 4.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ3_M.gguf) | i1-IQ3_M | 4.8 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_M.gguf) | i1-Q3_K_M | 5.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q3_K_L.gguf) | i1-Q3_K_L | 5.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ4_XS.gguf) | i1-IQ4_XS | 5.2 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-IQ4_NL.gguf) | i1-IQ4_NL | 5.3 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_0.gguf) | i1-Q4_0 | 5.3 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_K_S.gguf) | i1-Q4_K_S | 5.3 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q4_1.gguf) | i1-Q4_1 | 5.5 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.9 | |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking-i1-GGUF/resolve/main/gemma-4-E4B-it-The-DECKARD-V2-Strong-HERETIC-UNCENSORED-Thinking.i1-Q6_K.gguf) | i1-Q6_K | 6.3 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\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": []
},
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"likes": 0,
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"last_modified": "2026-04-12T09:20:18.000Z",
"created_at": "2026-04-12T05:34:39.000Z",
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Source payload excerpt (from Hugging Face API)
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