mradermacher/cicikus-v3-1.4b-opus4.6-powered-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "pthinc/Cicikus-v3-1.4B-Opus4.6-Powered",
    "datasets": [
      "pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
      "Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
      "pthinc/turkish_english_general_dataset",
      "galaxyMindAiLabs/stem-reasoning-complex",
      "stanford-oval/ccnews",
      "nohurry/Opus-4.6-Reasoning-3000x-filtered"
    ],
    "language": [
      "en",
      "tr"
    ],
    "library_name": "transformers",
    "license": "other",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "chat",
      "text-generation-inference",
      "agent",
      "cicikuş",
      "cicikus",
      "prettybird",
      "bce",
      "consciousness",
      "conscious",
      "llm",
      "transformers",
      "optimized",
      "ethic",
      "secure",
      "turkish",
      "english",
      "behavioral-consciousness-engine",
      "model",
      "reasoning",
      "think",
      "thinking",
      "chain-of-thought",
      "STEM-expert",
      "turkish & english",
      "franken-merge",
      "bce-aci",
      "llama-3.2",
      "edge-ai",
      "instruction",
      "instruct",
      "opus"
    ],
    "frontmatter": {
      "base_model": "pthinc/Cicikus-v3-1.4B-Opus4.6-Powered",
      "datasets": [
        "pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
        "Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
        "pthinc/turkish_english_general_dataset",
        "galaxyMindAiLabs/stem-reasoning-complex",
        "stanford-oval/ccnews",
        "nohurry/Opus-4.6-Reasoning-3000x-filtered"
      ],
      "language": [
        "en",
        "tr"
      ],
      "library_name": "transformers",
      "license": "other",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "chat",
        "text-generation-inference",
        "agent",
        "cicikuş",
        "cicikus",
        "prettybird",
        "bce",
        "consciousness",
        "conscious",
        "llm",
        "transformers",
        "optimized",
        "ethic",
        "secure",
        "turkish",
        "english",
        "behavioral-consciousness-engine",
        "model",
        "reasoning",
        "think",
        "thinking",
        "chain-of-thought",
        "STEM-expert",
        "turkish & english",
        "franken-merge",
        "bce-aci",
        "llama-3.2",
        "edge-ai",
        "instruction",
        "instruct",
        "opus"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/pthinc/Cicikus-v3-1.4B-Opus4.6-Powered  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: pthinc/Cicikus-v3-1.4B-Opus4.6-Powered\ndatasets:\n- pthinc/BCE-Prettybird-Micro-Standard-v0.0.1\n- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b\n- pthinc/turkish_english_general_dataset\n- galaxyMindAiLabs/stem-reasoning-complex\n- stanford-oval/ccnews\n- nohurry/Opus-4.6-Reasoning-3000x-filtered\nlanguage:\n- en\n- tr\nlibrary_name: transformers\nlicense: other\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- chat\n- text-generation-inference\n- agent\n- cicikuş\n- cicikus\n- prettybird\n- bce\n- consciousness\n- conscious\n- llm\n- transformers\n- optimized\n- ethic\n- secure\n- turkish\n- english\n- behavioral-consciousness-engine\n- model\n- reasoning\n- think\n- thinking\n- chain-of-thought\n- STEM-expert\n- turkish & english\n- franken-merge\n- bce-aci\n- llama-3.2\n- edge-ai\n- instruction\n- instruct\n- opus\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/pthinc/Cicikus-v3-1.4B-Opus4.6-Powered\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#Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-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/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ1_M.gguf) | i1-IQ1_M | 0.5 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ2_S.gguf) | i1-IQ2_S | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q2_K.gguf) | i1-Q2_K | 0.7 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ3_S.gguf) | i1-IQ3_S | 0.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ3_M.gguf) | i1-IQ3_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q4_0.gguf) | i1-Q4_0 | 0.9 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.9 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q4_1.gguf) | i1-Q4_1 | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUF/resolve/main/Cicikus-v3-1.4B-Opus4.6-Powered.i1-Q6_K.gguf) | i1-Q6_K | 1.2 | 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",
    "chat",
    "text-generation-inference",
    "agent",
    "cicikuş",
    "cicikus",
    "prettybird",
    "bce",
    "consciousness",
    "conscious",
    "llm",
    "optimized",
    "ethic",
    "secure",
    "turkish",
    "english",
    "behavioral-consciousness-engine",
    "model",
    "reasoning",
    "think",
    "thinking",
    "chain-of-thought",
    "STEM-expert",
    "turkish & english",
    "franken-merge",
    "bce-aci",
    "llama-3.2",
    "edge-ai",
    "instruction",
    "instruct",
    "opus",
    "en",
    "tr",
    "dataset:pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
    "dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
    "dataset:pthinc/turkish_english_general_dataset",
    "dataset:galaxyMindAiLabs/stem-reasoning-complex",
    "dataset:stanford-oval/ccnews",
    "dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
    "base_model:pthinc/Cicikus-v3-1.4B-Opus4.6-Powered",
    "base_model:quantized:pthinc/Cicikus-v3-1.4B-Opus4.6-Powered",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 0,
  "downloads": 550,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-17T11:10:55.000Z",
  "created_at": "2026-03-17T10:33:26.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "createdAt": "2026-03-17T10:33:26.000Z",
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  "author": "mradermacher",
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