mradermacher/albert_wesker-1b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "UmbrellaInc/Albert_Wesker-1B",
    "datasets": [
      "TeichAI/glm-4.7-2000x",
      "chimbiwide/RolePlay-NPCv2",
      "berkeruveyik/toxic-speech-annotated-dataset",
      "mlabonne/FineTome-100k",
      "ITCL/FineTomeOs",
      "Gryphe/ChatGPT-4o-Writing-Prompts",
      "dongguanting/ARPO-SFT-54K",
      "GreenerPastures/All-Your-Base-Full",
      "Gryphe/Opus-WritingPrompts",
      "HuggingFaceH4/MATH-500",
      "mlabonne/smoltalk-flat",
      "mlabonne/natural_reasoning-formatted",
      "OpenSPG/KAG-Thinker-training-dataset",
      "uclanlp/Brief-Pro",
      "CognitiveKernel/CognitiveKernel-Pro-SFT",
      "SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish",
      "QuixiAI/dolphin-r1",
      "mlabonne/lmsys-arena-human-sft-55k"
    ],
    "language": [
      "tr",
      "ar",
      "af",
      "az",
      "es",
      "en",
      "el",
      "ro",
      "ru",
      "rm",
      "th",
      "uk",
      "uz",
      "pl",
      "pt",
      "fa",
      "sk",
      "sl",
      "da",
      "de",
      "nl",
      "fr",
      "fi",
      "ka",
      "hi",
      "hu",
      "hy",
      "ja",
      "kk",
      "kn",
      "ko",
      "ku",
      "ky",
      "la",
      "lb",
      "id",
      "is",
      "it",
      "zh",
      "cs",
      "vi",
      "be",
      "bg",
      "bs",
      "ne",
      "mn"
    ],
    "library_name": "transformers",
    "license": "gemma",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "npc",
      "roleplay",
      "rp",
      "nsfw",
      "low-refusals",
      "uncensored",
      "heretic",
      "abliterated",
      "unsloth",
      "finetune",
      "all use cases",
      "bfloat16",
      "creative",
      "creative writing",
      "fiction writing",
      "plot generation",
      "sub-plot generation",
      "fiction writing",
      "story generation",
      "scene continue",
      "storytelling",
      "fiction story",
      "science fiction",
      "romance",
      "slice of life",
      "all genres",
      "story",
      "writing",
      "vivid prosing",
      "vivid writing",
      "fiction",
      "text-generation",
      "transformers",
      "safetensors",
      "gemma3",
      "mergekit",
      "karcher mean",
      "uncensored",
      "heretic",
      "roleplay",
      "nsfw",
      "virus",
      "t-virus",
      "low-end",
      "conversational",
      "think",
      "Not-For-All-Audiences"
    ],
    "frontmatter": {
      "base_model": "UmbrellaInc/Albert_Wesker-1B",
      "datasets": [
        "TeichAI/glm-4.7-2000x",
        "chimbiwide/RolePlay-NPCv2",
        "berkeruveyik/toxic-speech-annotated-dataset",
        "mlabonne/FineTome-100k",
        "ITCL/FineTomeOs",
        "Gryphe/ChatGPT-4o-Writing-Prompts",
        "dongguanting/ARPO-SFT-54K",
        "GreenerPastures/All-Your-Base-Full",
        "Gryphe/Opus-WritingPrompts",
        "HuggingFaceH4/MATH-500",
        "mlabonne/smoltalk-flat",
        "mlabonne/natural_reasoning-formatted",
        "OpenSPG/KAG-Thinker-training-dataset",
        "uclanlp/Brief-Pro",
        "CognitiveKernel/CognitiveKernel-Pro-SFT",
        "SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish",
        "QuixiAI/dolphin-r1",
        "mlabonne/lmsys-arena-human-sft-55k"
      ],
      "language": [
        "tr",
        "ar",
        "af",
        "az",
        "es",
        "en",
        "el",
        "ro",
        "ru",
        "rm",
        "th",
        "uk",
        "uz",
        "pl",
        "pt",
        "fa",
        "sk",
        "sl",
        "da",
        "de",
        "nl",
        "fr",
        "fi",
        "ka",
        "hi",
        "hu",
        "hy",
        "ja",
        "kk",
        "kn",
        "ko",
        "ku",
        "ky",
        "la",
        "lb",
        "id",
        "is",
        "it",
        "zh",
        "cs",
        "vi",
        "be",
        "bg",
        "bs",
        "ne",
        "mn"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "npc",
        "roleplay",
        "rp",
        "nsfw",
        "low-refusals",
        "uncensored",
        "heretic",
        "abliterated",
        "unsloth",
        "finetune",
        "all use cases",
        "bfloat16",
        "creative",
        "creative writing",
        "fiction writing",
        "plot generation",
        "sub-plot generation",
        "fiction writing",
        "story generation",
        "scene continue",
        "storytelling",
        "fiction story",
        "science fiction",
        "romance",
        "slice of life",
        "all genres",
        "story",
        "writing",
        "vivid prosing",
        "vivid writing",
        "fiction",
        "text-generation",
        "transformers",
        "safetensors",
        "gemma3",
        "mergekit",
        "karcher mean",
        "uncensored",
        "heretic",
        "roleplay",
        "nsfw",
        "virus",
        "t-virus",
        "low-end",
        "conversational",
        "think",
        "Not-For-All-Audiences"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/UmbrellaInc/Albert_Wesker-1B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Albert_Wesker-1B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: UmbrellaInc/Albert_Wesker-1B\ndatasets:\n- TeichAI/glm-4.7-2000x\n- chimbiwide/RolePlay-NPCv2\n- berkeruveyik/toxic-speech-annotated-dataset\n- mlabonne/FineTome-100k\n- ITCL/FineTomeOs\n- Gryphe/ChatGPT-4o-Writing-Prompts\n- dongguanting/ARPO-SFT-54K\n- GreenerPastures/All-Your-Base-Full\n- Gryphe/Opus-WritingPrompts\n- HuggingFaceH4/MATH-500\n- mlabonne/smoltalk-flat\n- mlabonne/natural_reasoning-formatted\n- OpenSPG/KAG-Thinker-training-dataset\n- uclanlp/Brief-Pro\n- CognitiveKernel/CognitiveKernel-Pro-SFT\n- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish\n- QuixiAI/dolphin-r1\n- mlabonne/lmsys-arena-human-sft-55k\nlanguage:\n- tr\n- ar\n- af\n- az\n- es\n- en\n- el\n- ro\n- ru\n- rm\n- th\n- uk\n- uz\n- pl\n- pt\n- fa\n- sk\n- sl\n- da\n- de\n- nl\n- fr\n- fi\n- ka\n- hi\n- hu\n- hy\n- ja\n- kk\n- kn\n- ko\n- ku\n- ky\n- la\n- lb\n- id\n- is\n- it\n- zh\n- cs\n- vi\n- be\n- bg\n- bs\n- ne\n- mn\nlibrary_name: transformers\nlicense: gemma\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- npc\n- roleplay\n- rp\n- nsfw\n- low-refusals\n- uncensored\n- heretic\n- abliterated\n- unsloth\n- finetune\n- all use cases\n- bfloat16\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- slice of life\n- all genres\n- story\n- writing\n- vivid prosing\n- vivid writing\n- fiction\n- text-generation\n- transformers\n- safetensors\n- gemma3\n- mergekit\n- karcher mean\n- uncensored\n- heretic\n- roleplay\n- nsfw\n- virus\n- t-virus\n- low-end\n- conversational\n- think\n- Not-For-All-Audiences\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/UmbrellaInc/Albert_Wesker-1B\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#Albert_Wesker-1B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Albert_Wesker-1B-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/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.8 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_0.gguf) | i1-Q4_0 | 0.8 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_1.gguf) | i1-Q4_1 | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q6_K.gguf) | i1-Q6_K | 1.1 | 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",
    "npc",
    "roleplay",
    "rp",
    "nsfw",
    "low-refusals",
    "uncensored",
    "heretic",
    "abliterated",
    "unsloth",
    "finetune",
    "all use cases",
    "bfloat16",
    "creative",
    "creative writing",
    "fiction writing",
    "plot generation",
    "sub-plot generation",
    "story generation",
    "scene continue",
    "storytelling",
    "fiction story",
    "science fiction",
    "romance",
    "slice of life",
    "all genres",
    "story",
    "writing",
    "vivid prosing",
    "vivid writing",
    "fiction",
    "text-generation",
    "safetensors",
    "gemma3",
    "mergekit",
    "karcher mean",
    "virus",
    "t-virus",
    "low-end",
    "conversational",
    "think",
    "Not-For-All-Audiences",
    "tr",
    "ar",
    "af",
    "az",
    "es",
    "en",
    "el",
    "ro",
    "ru",
    "rm",
    "th",
    "uk",
    "uz",
    "pl",
    "pt",
    "fa",
    "sk",
    "sl",
    "da",
    "de",
    "nl",
    "fr",
    "fi",
    "ka",
    "hi",
    "hu",
    "hy",
    "ja",
    "kk",
    "kn",
    "ko",
    "ku",
    "ky",
    "la",
    "lb",
    "id",
    "is",
    "it",
    "zh",
    "cs",
    "vi",
    "be",
    "bg",
    "bs",
    "ne",
    "mn",
    "dataset:TeichAI/glm-4.7-2000x",
    "dataset:chimbiwide/RolePlay-NPCv2",
    "dataset:berkeruveyik/toxic-speech-annotated-dataset",
    "dataset:mlabonne/FineTome-100k",
    "dataset:ITCL/FineTomeOs",
    "dataset:Gryphe/ChatGPT-4o-Writing-Prompts",
    "dataset:dongguanting/ARPO-SFT-54K",
    "dataset:GreenerPastures/All-Your-Base-Full",
    "dataset:Gryphe/Opus-WritingPrompts",
    "dataset:HuggingFaceH4/MATH-500",
    "dataset:mlabonne/smoltalk-flat",
    "dataset:mlabonne/natural_reasoning-formatted",
    "dataset:OpenSPG/KAG-Thinker-training-dataset",
    "dataset:uclanlp/Brief-Pro",
    "dataset:CognitiveKernel/CognitiveKernel-Pro-SFT",
    "dataset:SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish",
    "dataset:QuixiAI/dolphin-r1",
    "dataset:mlabonne/lmsys-arena-human-sft-55k",
    "base_model:UmbrellaInc/Albert_Wesker-1B",
    "base_model:quantized:UmbrellaInc/Albert_Wesker-1B",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 0,
  "downloads": 219,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-08T08:20:13.000Z",
  "created_at": "2026-03-07T14:32:02.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

{
  "_id": "69ac36e26609e938dd406949",
  "id": "mradermacher/Albert_Wesker-1B-i1-GGUF",
  "modelId": "mradermacher/Albert_Wesker-1B-i1-GGUF",
  "sha": "97d3f7be29d60f399359541755ef333d2ce56223",
  "createdAt": "2026-03-07T14:32:02.000Z",
  "lastModified": "2026-03-08T08:20:13.000Z",
  "author": "mradermacher",
  "downloads": 219,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 27
}