alcoft/soob3123_amoral-qwen3-14b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": [
      "soob3123/amoral-qwen3-14B"
    ],
    "pipeline_tag": "text-generation",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "tags": [
      "analytical-tasks",
      "bias-neutralization",
      "uncensored"
    ],
    "datasets": [
      "soob3123/amoral_reasoning",
      "TheDrummer/AmoralQA-v2"
    ],
    "frontmatter": {
      "base_model": [
        "soob3123/amoral-qwen3-14B"
      ],
      "pipeline_tag": "text-generation",
      "language": [
        "en"
      ],
      "license": "apache-2.0",
      "tags": [
        "analytical-tasks",
        "bias-neutralization",
        "uncensored"
      ],
      "datasets": [
        "soob3123/amoral_reasoning",
        "TheDrummer/AmoralQA-v2"
      ]
    },
    "hero_image_url": "",
    "summary": "|Quant|Size|Description| |---|---|---| |Q2_K|5.36 GB|Not recommended for most people. Very low quality.| |Q2_K_L|6.07 GB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q2_K for everything else. Very low quality.| |Q2_K_XL|7.42 GB|Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.| |Q3_K_S|6.2 GB|Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.| |Q3_K_M|6.82 GB|Not recommended for most people. Low quality.| |Q3_K_L|7.36 GB|Not recommended for most people. Low quality.| |Q3_K_XL|7.99 GB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q3_K_L for everything else. Low quality.| |Q3_K_XXL|9.35 GB|Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.| |Q4_K_S|7.98 GB|Recommended. Slightly low quality.| |Q4_K_M|8.38 GB|Recommended. Decent quality for most use cases.| |Q4_K_L|8.92 GB|Recommended. Uses Q8_0 for output and embedding, and Q4_K_M for everything else. Decent quality.| |Q4_K_XL|10.28 GB|Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.| |Q5_K_S|9.56 GB|Recommended. High quality.| |Q5_K_M|9.79 GB|Recommended. High quality.| |Q5_K_L|10.24 GB|Recommended. Uses Q8_0 for output and embedding, and Q5_K_M for everything else. High quality.| |Q5_K_XL|11.6 GB|Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.| |Q6_K|11.29 GB|Recommended. Very high quality.| |Q6_K_L|11.64 GB|Recommended. Uses Q8_0 for output and embedding, and Q6_K for everything else. Very high quality.| |Q6_K_XL|13.0 GB|Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.| |Q8_0|14.62 GB|Recommended. Quality almost like F16.| |Q8_K_XL|15.98 GB|Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.| |F16|27.51 GB|Not recommended. Overkill. Prefer Q8_0.| |ORIGINAL (BF16)|27.51 GB|Not recommended. Overkill. Prefer Q8_0.| --- Quantized using TAO71-AI AutoQuantizer. You can check out the original model card here.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- soob3123/amoral-qwen3-14B\npipeline_tag: text-generation\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- analytical-tasks\n- bias-neutralization\n- uncensored\ndatasets:\n- soob3123/amoral_reasoning\n- TheDrummer/AmoralQA-v2\n---\n\n|Quant|Size|Description|\n|---|---|---|\n|[Q2_K](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q2_K.gguf)|5.36 GB|Not recommended for most people. Very low quality.|\n|[Q2_K_L](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q2_K_L.gguf)|6.07 GB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q2_K for everything else. Very low quality.|\n|[Q2_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q2_K_XL.gguf)|7.42 GB|Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.|\n|[Q3_K_S](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q3_K_S.gguf)|6.2 GB|Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.|\n|[Q3_K_M](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q3_K_M.gguf)|6.82 GB|Not recommended for most people. Low quality.|\n|[Q3_K_L](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q3_K_L.gguf)|7.36 GB|Not recommended for most people. Low quality.|\n|[Q3_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q3_K_XL.gguf)|7.99 GB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q3_K_L for everything else. Low quality.|\n|[Q3_K_XXL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q3_K_XXL.gguf)|9.35 GB|Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.|\n|[Q4_K_S](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q4_K_S.gguf)|7.98 GB|Recommended. Slightly low quality.|\n|[Q4_K_M](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q4_K_M.gguf)|8.38 GB|Recommended. Decent quality for most use cases.|\n|[Q4_K_L](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q4_K_L.gguf)|8.92 GB|Recommended. Uses Q8_0 for output and embedding, and Q4_K_M for everything else. Decent quality.|\n|[Q4_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q4_K_XL.gguf)|10.28 GB|Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.|\n|[Q5_K_S](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q5_K_S.gguf)|9.56 GB|Recommended. High quality.|\n|[Q5_K_M](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q5_K_M.gguf)|9.79 GB|Recommended. High quality.|\n|[Q5_K_L](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q5_K_L.gguf)|10.24 GB|Recommended. Uses Q8_0 for output and embedding, and Q5_K_M for everything else. High quality.|\n|[Q5_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q5_K_XL.gguf)|11.6 GB|Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.|\n|[Q6_K](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q6_K.gguf)|11.29 GB|Recommended. Very high quality.|\n|[Q6_K_L](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q6_K_L.gguf)|11.64 GB|Recommended. Uses Q8_0 for output and embedding, and Q6_K for everything else. Very high quality.|\n|[Q6_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q6_K_XL.gguf)|13.0 GB|Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.|\n|[Q8_0](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q8_0.gguf)|14.62 GB|Recommended. Quality almost like F16.|\n|[Q8_K_XL](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_Q8_K_XL.gguf)|15.98 GB|Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.|\n|[F16](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B_F16.gguf)|27.51 GB|Not recommended. Overkill. Prefer Q8_0.|\n|[ORIGINAL (BF16)](https://huggingface.co/Alcoft/soob3123_amoral-qwen3-14B-GGUF/resolve/main/soob3123_amoral-qwen3-14B.gguf)|27.51 GB|Not recommended. Overkill. Prefer Q8_0.|\n\n---\n\nQuantized using [TAO71-AI AutoQuantizer](https://github.com/TAO71-AI/AutoQuantizer).\nYou can check out the original model card [here](https://huggingface.co/soob3123/amoral-qwen3-14B).",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "analytical-tasks",
    "bias-neutralization",
    "uncensored",
    "text-generation",
    "en",
    "dataset:soob3123/amoral_reasoning",
    "dataset:TheDrummer/AmoralQA-v2",
    "base_model:soob3123/amoral-qwen3-14B",
    "base_model:quantized:soob3123/amoral-qwen3-14B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 201,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-29T06:21:08.000Z",
  "created_at": "2025-08-29T04:31:49.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

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  "id": "Alcoft/soob3123_amoral-qwen3-14B-GGUF",
  "modelId": "Alcoft/soob3123_amoral-qwen3-14B-GGUF",
  "sha": "a4478ceec0431a522813ec3d7fd01804af6d1fb1",
  "createdAt": "2025-08-29T04:31:49.000Z",
  "lastModified": "2025-08-29T06:21:08.000Z",
  "author": "Alcoft",
  "downloads": 201,
  "likes": 0,
  "gated": false,
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  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 25
}