mradermacher/cicikus_pths_v3_4.4b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "pthinc/Cicikus_PTHS_v3_4.4B",
    "datasets": [
      "pthinc/BCE-Prettybird-Large-Standard-v0.0.2",
      "galaxyMindAiLabs/stem-reasoning-complex",
      "Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b"
    ],
    "language": [
      "tr",
      "en"
    ],
    "library_name": "transformers",
    "license": "llama3.2",
    "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",
      "bce-aci",
      "llama-3.2",
      "edge-ai",
      "trl",
      "unsloth",
      "instruct",
      "prometech",
      "Prometheus"
    ],
    "frontmatter": {
      "base_model": "pthinc/Cicikus_PTHS_v3_4.4B",
      "datasets": [
        "pthinc/BCE-Prettybird-Large-Standard-v0.0.2",
        "galaxyMindAiLabs/stem-reasoning-complex",
        "Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b"
      ],
      "language": [
        "tr",
        "en"
      ],
      "library_name": "transformers",
      "license": "llama3.2",
      "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",
        "bce-aci",
        "llama-3.2",
        "edge-ai",
        "trl",
        "unsloth",
        "instruct",
        "prometech",
        "Prometheus"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/pthinc/Cicikus_PTHS_v3_4.4B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: pthinc/Cicikus_PTHS_v3_4.4B\ndatasets:\n- pthinc/BCE-Prettybird-Large-Standard-v0.0.2\n- galaxyMindAiLabs/stem-reasoning-complex\n- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b\nlanguage:\n- tr\n- en\nlibrary_name: transformers\nlicense: llama3.2\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- bce-aci\n- llama-3.2\n- edge-ai\n- trl\n- unsloth\n- instruct\n- prometech\n- Prometheus\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_PTHS_v3_4.4B\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_PTHS_v3_4.4B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-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_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.2 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ2_S.gguf) | i1-IQ2_S | 1.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ2_M.gguf) | i1-IQ2_M | 1.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q2_K.gguf) | i1-Q2_K | 1.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ3_S.gguf) | i1-IQ3_S | 2.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 2.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ3_M.gguf) | i1-IQ3_M | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 2.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 2.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 2.7 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q4_0.gguf) | i1-Q4_0 | 2.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 2.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 2.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q4_1.gguf) | i1-Q4_1 | 2.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUF/resolve/main/Cicikus_PTHS_v3_4.4B.i1-Q6_K.gguf) | i1-Q6_K | 3.7 | 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",
    "bce-aci",
    "llama-3.2",
    "edge-ai",
    "trl",
    "unsloth",
    "instruct",
    "prometech",
    "Prometheus",
    "tr",
    "en",
    "dataset:pthinc/BCE-Prettybird-Large-Standard-v0.0.2",
    "dataset:galaxyMindAiLabs/stem-reasoning-complex",
    "dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
    "base_model:pthinc/Cicikus_PTHS_v3_4.4B",
    "base_model:quantized:pthinc/Cicikus_PTHS_v3_4.4B",
    "license:llama3.2",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 162,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-15T20:21:20.000Z",
  "created_at": "2026-03-15T18:22:16.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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