mradermacher/deepseek-r1-distill-qwen-1.5b-multilingual-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual",
    "datasets": [
      "lightblue/reasoning-multilingual-R1-Llama-70B-train"
    ],
    "language": [
      "am",
      "ar",
      "bn",
      "zh",
      "cs",
      "nl",
      "en",
      "fr",
      "de",
      "el",
      "ha",
      "he",
      "hi",
      "id",
      "it",
      "ja",
      "jv",
      "km",
      "ko",
      "lo",
      "ms",
      "mr",
      "fa",
      "pl",
      "pt",
      "ro",
      "ru",
      "es",
      "sw",
      "sv",
      "tl",
      "ta",
      "te",
      "th",
      "tr",
      "uk",
      "ur",
      "vi"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "reasoning"
    ],
    "frontmatter": {
      "base_model": "lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual",
      "datasets": [
        "lightblue/reasoning-multilingual-R1-Llama-70B-train"
      ],
      "language": [
        "am",
        "ar",
        "bn",
        "zh",
        "cs",
        "nl",
        "en",
        "fr",
        "de",
        "el",
        "ha",
        "he",
        "hi",
        "id",
        "it",
        "ja",
        "jv",
        "km",
        "ko",
        "lo",
        "ms",
        "mr",
        "fa",
        "pl",
        "pt",
        "ro",
        "ru",
        "es",
        "sw",
        "sv",
        "tl",
        "ta",
        "te",
        "th",
        "tr",
        "uk",
        "ur",
        "vi"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "reasoning"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual  weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual\ndatasets:\n- lightblue/reasoning-multilingual-R1-Llama-70B-train\nlanguage:\n- am\n- ar\n- bn\n- zh\n- cs\n- nl\n- en\n- fr\n- de\n- el\n- ha\n- he\n- hi\n- id\n- it\n- ja\n- jv\n- km\n- ko\n- lo\n- ms\n- mr\n- fa\n- pl\n- pt\n- ro\n- ru\n- es\n- sw\n- sv\n- tl\n- ta\n- te\n- th\n- tr\n- uk\n- ur\n- vi\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- reasoning\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-i1-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/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q2_K.gguf) | Q2_K | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q3_K_S.gguf) | Q3_K_S | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q3_K_L.gguf) | Q3_K_L | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.IQ4_XS.gguf) | IQ4_XS | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q5_K_S.gguf) | Q5_K_S | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q5_K_M.gguf) | Q5_K_M | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q6_K.gguf) | Q6_K | 1.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.Q8_0.gguf) | Q8_0 | 2.0 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual.f16.gguf) | f16 | 3.7 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "reasoning",
    "am",
    "ar",
    "bn",
    "zh",
    "cs",
    "nl",
    "en",
    "fr",
    "de",
    "el",
    "ha",
    "he",
    "hi",
    "id",
    "it",
    "ja",
    "jv",
    "km",
    "ko",
    "lo",
    "ms",
    "mr",
    "fa",
    "pl",
    "pt",
    "ro",
    "ru",
    "es",
    "sw",
    "sv",
    "tl",
    "ta",
    "te",
    "th",
    "tr",
    "uk",
    "ur",
    "vi",
    "dataset:lightblue/reasoning-multilingual-R1-Llama-70B-train",
    "base_model:lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual",
    "base_model:quantized:lightblue/DeepSeek-R1-Distill-Qwen-1.5B-Multilingual",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 103,
  "gated": false,
  "private": false,
  "last_modified": "2025-01-31T22:22:46.000Z",
  "created_at": "2025-01-31T19:45:25.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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