mradermacher/lte-qwen3-4b-base-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "JamyDohrn/LTE-Qwen3-4B-Base",
    "datasets": [
      "Elliott/Openr1-Math-46k-8192"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "JamyDohrn/LTE-Qwen3-4B-Base",
      "datasets": [
        "Elliott/Openr1-Math-46k-8192"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/JamyDohrn/LTE-Qwen3-4B-Base  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: JamyDohrn/LTE-Qwen3-4B-Base\ndatasets:\n- Elliott/Openr1-Math-46k-8192\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\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/JamyDohrn/LTE-Qwen3-4B-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#LTE-Qwen3-4B-Base-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-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/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q2_K.gguf) | Q2_K | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q3_K_S.gguf) | Q3_K_S | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q3_K_M.gguf) | Q3_K_M | 2.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q3_K_L.gguf) | Q3_K_L | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.IQ4_XS.gguf) | IQ4_XS | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q4_K_M.gguf) | Q4_K_M | 2.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q5_K_S.gguf) | Q5_K_S | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q5_K_M.gguf) | Q5_K_M | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q6_K.gguf) | Q6_K | 3.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.Q8_0.gguf) | Q8_0 | 4.8 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/LTE-Qwen3-4B-Base-GGUF/resolve/main/LTE-Qwen3-4B-Base.f16.gguf) | f16 | 8.9 | 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",
    "en",
    "dataset:Elliott/Openr1-Math-46k-8192",
    "base_model:JamyDohrn/LTE-Qwen3-4B-Base",
    "base_model:quantized:JamyDohrn/LTE-Qwen3-4B-Base",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 845,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-08T11:19:18.000Z",
  "created_at": "2026-04-07T18:51:22.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "69d5522a6add770c509be1bb",
  "id": "mradermacher/LTE-Qwen3-4B-Base-GGUF",
  "modelId": "mradermacher/LTE-Qwen3-4B-Base-GGUF",
  "sha": "f6adfab727798c1c2377d054b987fb2fd77177f3",
  "createdAt": "2026-04-07T18:51:22.000Z",
  "lastModified": "2026-04-08T11:19:18.000Z",
  "author": "mradermacher",
  "downloads": 845,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 14
}