devquasar/minimaxai.minimax-m2.5-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": [
      "MiniMaxAI/MiniMax-M2.5"
    ],
    "pipeline_tag": "text-generation",
    "frontmatter": {
      "base_model": [
        "MiniMaxAI/MiniMax-M2.5"
      ],
      "pipeline_tag": "text-generation"
    },
    "hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
    "summary": "'Make knowledge free for everyone' Quantized version of: MiniMaxAI/MiniMax-M2.5",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- MiniMaxAI/MiniMax-M2.5\npipeline_tag: text-generation\n---\n\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\n'Make knowledge free for everyone'\n\nQuantized version of: [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5)\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation",
    "base_model:MiniMaxAI/MiniMax-M2.5",
    "base_model:quantized:MiniMaxAI/MiniMax-M2.5",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 7,
  "downloads": 209,
  "gated": false,
  "private": false,
  "last_modified": "2026-02-17T15:54:35.000Z",
  "created_at": "2026-02-13T14:51:06.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

{
  "_id": "698f3a5a5049d562a237671a",
  "id": "DevQuasar/MiniMaxAI.MiniMax-M2.5-GGUF",
  "modelId": "DevQuasar/MiniMaxAI.MiniMax-M2.5-GGUF",
  "sha": "993d5732bcf7d179253fe5cd9a5ca89c580ee286",
  "createdAt": "2026-02-13T14:51:06.000Z",
  "lastModified": "2026-02-17T15:54:35.000Z",
  "author": "DevQuasar",
  "downloads": 209,
  "likes": 7,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 80
}