mradermacher/smollm2-135m-multilingual-base-gguf overview

{
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  "card_data": {
    "base_model": "agentlans/SmolLM2-135M-multilingual-base",
    "datasets": [
      "agentlans/LinguaNova"
    ],
    "language": [
      "multilingual",
      "ar",
      "az",
      "bg",
      "bn",
      "ca",
      "cs",
      "da",
      "de",
      "el",
      "en",
      "es",
      "et",
      "fa",
      "fi",
      "fr",
      "he",
      "hi",
      "hu",
      "hy",
      "id",
      "is",
      "it",
      "ja",
      "ka",
      "kk",
      "ko",
      "lt",
      "lv",
      "mk",
      "ml",
      "mr",
      "ne",
      "nl",
      "no",
      "pl",
      "pt",
      "ro",
      "ru",
      "sk",
      "sl",
      "sq",
      "sr",
      "sv",
      "ta",
      "th",
      "tr",
      "uk",
      "ur",
      "vi",
      "zh"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "multilingual",
      "language-model",
      "small-model",
      "transformer",
      "causal-lm",
      "autocomplete",
      "base-model",
      "research",
      "pretrained",
      "50-languages",
      "experimental",
      "not-instruction-tuned"
    ],
    "frontmatter": {
      "base_model": "agentlans/SmolLM2-135M-multilingual-base",
      "datasets": [
        "agentlans/LinguaNova"
      ],
      "language": [
        "multilingual",
        "ar",
        "az",
        "bg",
        "bn",
        "ca",
        "cs",
        "da",
        "de",
        "el",
        "en",
        "es",
        "et",
        "fa",
        "fi",
        "fr",
        "he",
        "hi",
        "hu",
        "hy",
        "id",
        "is",
        "it",
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        "pl",
        "pt",
        "ro",
        "ru",
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        "th",
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        "uk",
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        "zh"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "multilingual",
        "language-model",
        "small-model",
        "transformer",
        "causal-lm",
        "autocomplete",
        "base-model",
        "research",
        "pretrained",
        "50-languages",
        "experimental",
        "not-instruction-tuned"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/agentlans/SmolLM2-135M-multilingual-base  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: agentlans/SmolLM2-135M-multilingual-base\ndatasets:\n- agentlans/LinguaNova\nlanguage:\n- multilingual\n- ar\n- az\n- bg\n- bn\n- ca\n- cs\n- da\n- de\n- el\n- en\n- es\n- et\n- fa\n- fi\n- fr\n- he\n- hi\n- hu\n- hy\n- id\n- is\n- it\n- ja\n- ka\n- kk\n- ko\n- lt\n- lv\n- mk\n- ml\n- mr\n- ne\n- nl\n- no\n- pl\n- pt\n- ro\n- ru\n- sk\n- sl\n- sq\n- sr\n- sv\n- ta\n- th\n- tr\n- uk\n- ur\n- vi\n- zh\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- multilingual\n- language-model\n- small-model\n- transformer\n- causal-lm\n- autocomplete\n- base-model\n- research\n- pretrained\n- 50-languages\n- experimental\n- not-instruction-tuned\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/agentlans/SmolLM2-135M-multilingual-base\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#SmolLM2-135M-multilingual-base-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q2_K.gguf) | Q2_K | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_S.gguf) | Q3_K_S | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.IQ4_XS.gguf) | IQ4_XS | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_L.gguf) | Q3_K_L | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q5_K_S.gguf) | Q5_K_S | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q5_K_M.gguf) | Q5_K_M | 0.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q6_K.gguf) | Q6_K | 0.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.f16.gguf) | f16 | 0.4 | 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",
    "multilingual",
    "language-model",
    "small-model",
    "transformer",
    "causal-lm",
    "autocomplete",
    "base-model",
    "research",
    "pretrained",
    "50-languages",
    "experimental",
    "not-instruction-tuned",
    "ar",
    "az",
    "bg",
    "bn",
    "ca",
    "cs",
    "da",
    "de",
    "el",
    "en",
    "es",
    "et",
    "fa",
    "fi",
    "fr",
    "he",
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    "is",
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    "nl",
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    "pt",
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    "sk",
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    "sq",
    "sr",
    "sv",
    "ta",
    "th",
    "tr",
    "uk",
    "ur",
    "vi",
    "zh",
    "dataset:agentlans/LinguaNova",
    "base_model:agentlans/SmolLM2-135M-multilingual-base",
    "base_model:quantized:agentlans/SmolLM2-135M-multilingual-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 144,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-30T12:27:50.000Z",
  "created_at": "2025-08-30T12:24:40.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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