alcoft/dnotitia_smoothie-qwen3-1.7b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": [
      "dnotitia/Smoothie-Qwen3-1.7B"
    ],
    "pipeline_tag": "text-generation",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "tags": [
      "dnotitia",
      "nlp",
      "llm",
      "conversation",
      "chat",
      "reasoning"
    ],
    "frontmatter": {
      "base_model": [
        "dnotitia/Smoothie-Qwen3-1.7B"
      ],
      "pipeline_tag": "text-generation",
      "language": [
        "en"
      ],
      "license": "apache-2.0",
      "tags": [
        "dnotitia",
        "nlp",
        "llm",
        "conversation",
        "chat",
        "reasoning"
      ]
    },
    "hero_image_url": "",
    "summary": "|Quant|Size|Description| |---|---|---| |Q2_K_XXS|595.71 MB|Not recommended for most people. Extremelly low quality.| |Q2_K_XS|595.71 MB|Not recommended for most people. Very low quality.| |Q2_K|595.71 MB|Not recommended for most people. Very low quality.| |Q2_K_L|813.63 MB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q2_K for everything else. Very low quality.| |Q2_K_XL|1.07 GB|Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.| |Q3_K_XXS|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.| |Q3_K_XS|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.| |Q3_K_S|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.| |Q3_K_M|780.1 MB|Not recommended for most people. Low quality.| |Q3_K_L|841.1 MB|Not recommended for most people. Low quality.| |Q3_K_XL|1.0 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|1.28 GB|Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.| |Q4_K_XS|934.57 MB|Lower quality than Q4_K_S.| |Q4_K_S|934.57 MB|Recommended. Slightly low quality.| |Q4_K_M|979.6 MB|Recommended. Decent quality for most use cases.| |Q4_K_L|1.1 GB|Recommended. Uses Q8_0 for output and embedding, and Q4_K_M for everything else. Decent quality.| |Q4_K_XL|1.37 GB|Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.| |Q5_K_XXS|1.11 GB|Lower quality than Q5_K_S.| |Q5_K_XS|1.11 GB|Lower quality than Q5_K_S.| |Q5_K_S|1.11 GB|Recommended. High quality.| |Q5_K_M|1.13 GB|Recommended. High quality.| |Q5_K_L|1.24 GB|Recommended. Uses Q8_0 for output and embedding, and Q5_K_M for everything else. High quality.| |Q5_K_XL|1.51 GB|Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.| |Q6_K_S|1.32 GB|Lower quality than Q6_K.| |Q6_K|1.32 GB|Recommended. Very high quality.| |Q6_K_L|1.39 GB|Recommended. Uses Q8_0 for output and embedding, and Q6_K for everything else. Very high quality.| |Q6_K_XL|1.66 GB|Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.| |Q8_K_XS|1.71 GB|Lower quality than Q8_0.| |Q8_K_S|1.71 GB|Lower quality than Q8_0.| |Q8_0|1.71 GB|Recommended. Quality almost like F16.| |Q8_K_XL|1.98 GB|Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.| |F16|3.21 GB|Not recommended. Overkill. Prefer Q8_0.| |ORIGINAL (BF16)|3.21 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- dnotitia/Smoothie-Qwen3-1.7B\npipeline_tag: text-generation\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- dnotitia\n- nlp\n- llm\n- conversation\n- chat\n- reasoning\n---\n\n|Quant|Size|Description|\n|---|---|---|\n|[Q2_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K_XXS.gguf)|595.71 MB|Not recommended for most people. Extremelly low quality.|\n|[Q2_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K_XS.gguf)|595.71 MB|Not recommended for most people. Very low quality.|\n|[Q2_K](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K.gguf)|595.71 MB|Not recommended for most people. Very low quality.|\n|[Q2_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K_L.gguf)|813.63 MB|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/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K_XL.gguf)|1.07 GB|Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.|\n|[Q3_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_XXS.gguf)|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.|\n|[Q3_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_XS.gguf)|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.|\n|[Q3_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_S.gguf)|711.16 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.|\n|[Q3_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_M.gguf)|780.1 MB|Not recommended for most people. Low quality.|\n|[Q3_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_L.gguf)|841.1 MB|Not recommended for most people. Low quality.|\n|[Q3_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_XL.gguf)|1.0 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/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q3_K_XXL.gguf)|1.28 GB|Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.|\n|[Q4_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q4_K_XS.gguf)|934.57 MB|Lower quality than Q4_K_S.|\n|[Q4_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q4_K_S.gguf)|934.57 MB|Recommended. Slightly low quality.|\n|[Q4_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q4_K_M.gguf)|979.6 MB|Recommended. Decent quality for most use cases.|\n|[Q4_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q4_K_L.gguf)|1.1 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/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q4_K_XL.gguf)|1.37 GB|Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.|\n|[Q5_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_XXS.gguf)|1.11 GB|Lower quality than Q5_K_S.|\n|[Q5_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_XS.gguf)|1.11 GB|Lower quality than Q5_K_S.|\n|[Q5_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_S.gguf)|1.11 GB|Recommended. High quality.|\n|[Q5_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_M.gguf)|1.13 GB|Recommended. High quality.|\n|[Q5_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_L.gguf)|1.24 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/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q5_K_XL.gguf)|1.51 GB|Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.|\n|[Q6_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q6_K_S.gguf)|1.32 GB|Lower quality than Q6_K.|\n|[Q6_K](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q6_K.gguf)|1.32 GB|Recommended. Very high quality.|\n|[Q6_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q6_K_L.gguf)|1.39 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/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q6_K_XL.gguf)|1.66 GB|Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.|\n|[Q8_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q8_K_XS.gguf)|1.71 GB|Lower quality than Q8_0.|\n|[Q8_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q8_K_S.gguf)|1.71 GB|Lower quality than Q8_0.|\n|[Q8_0](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q8_0.gguf)|1.71 GB|Recommended. Quality almost like F16.|\n|[Q8_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q8_K_XL.gguf)|1.98 GB|Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.|\n|[F16](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_F16.gguf)|3.21 GB|Not recommended. Overkill. Prefer Q8_0.|\n|[ORIGINAL (BF16)](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B.gguf)|3.21 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/dnotitia/Smoothie-Qwen3-1.7B).",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "dnotitia",
    "nlp",
    "llm",
    "conversation",
    "chat",
    "reasoning",
    "text-generation",
    "en",
    "base_model:dnotitia/Smoothie-Qwen3-1.7B",
    "base_model:quantized:dnotitia/Smoothie-Qwen3-1.7B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 577,
  "gated": false,
  "private": false,
  "last_modified": "2025-09-10T17:28:02.000Z",
  "created_at": "2025-09-10T17:18:44.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

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  "id": "Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF",
  "modelId": "Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF",
  "sha": "d71d667193962bfc90110c6f408067038afa6f6e",
  "createdAt": "2025-09-10T17:18:44.000Z",
  "lastModified": "2025-09-10T17:28:02.000Z",
  "author": "Alcoft",
  "downloads": 577,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 35
}