mradermacher/qwen-sea-lion-v4-32b-it-gguf overview

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  "card_data": {
    "base_model": "aisingapore/Qwen-SEA-LION-v4-32B-IT",
    "language": [
      "en",
      "zh",
      "vi",
      "id",
      "th",
      "fil",
      "ta",
      "ms",
      "km",
      "lo",
      "my"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "aisingapore/Qwen-SEA-LION-v4-32B-IT",
      "language": [
        "en",
        "zh",
        "vi",
        "id",
        "th",
        "fil",
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        "ms",
        "km",
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      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-32B-IT  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: aisingapore/Qwen-SEA-LION-v4-32B-IT\nlanguage:\n- en\n- zh\n- vi\n- id\n- th\n- fil\n- ta\n- ms\n- km\n- lo\n- my\nlibrary_name: transformers\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/aisingapore/Qwen-SEA-LION-v4-32B-IT\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#Qwen-SEA-LION-v4-32B-IT-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-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/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q2_K.gguf) | Q2_K | 12.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q3_K_S.gguf) | Q3_K_S | 14.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q3_K_M.gguf) | Q3_K_M | 16.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q3_K_L.gguf) | Q3_K_L | 17.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.IQ4_XS.gguf) | IQ4_XS | 18.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q4_K_M.gguf) | Q4_K_M | 19.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q5_K_S.gguf) | Q5_K_S | 22.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q5_K_M.gguf) | Q5_K_M | 23.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q6_K.gguf) | Q6_K | 27.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/resolve/main/Qwen-SEA-LION-v4-32B-IT.Q8_0.gguf) | Q8_0 | 34.9 | fast, best quality |\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",
    "zh",
    "vi",
    "id",
    "th",
    "fil",
    "ta",
    "ms",
    "km",
    "lo",
    "my",
    "base_model:aisingapore/Qwen-SEA-LION-v4-32B-IT",
    "base_model:quantized:aisingapore/Qwen-SEA-LION-v4-32B-IT",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2025-10-18T05:06:51.000Z",
  "created_at": "2025-10-18T01:28:30.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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