etemiz/ostrich-27b-qwen3.5-260411-gguf overview

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  "card_data": {
    "license": "apache-2.0",
    "base_model": [
      "Qwen/Qwen3.5-27B"
    ],
    "tags": [
      "#aha",
      "#health",
      "#nutrition",
      "#medicinalherbs",
      "#fasting",
      "#faith",
      "#healing",
      "#bitcoin",
      "#nostr"
    ],
    "frontmatter": {
      "license": "apache-2.0",
      "base_model": [
        "Qwen/Qwen3.5-27B"
      ],
      "tags": [
        "'#aha'",
        "'#health'",
        "'#nutrition'",
        "'#medicinalherbs'",
        "'#fasting'",
        "'#faith'",
        "'#healing'",
        "'#bitcoin'",
        "'#nostr'"
      ]
    },
    "hero_image_url": "",
    "summary": "Ostrich LLMs, bringing you \"the knowledge that matters\".",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nbase_model:\n- Qwen/Qwen3.5-27B\ntags:\n- '#aha'\n- '#health'\n- '#nutrition'\n- '#medicinalherbs'\n- '#fasting'\n- '#faith'\n- '#healing'\n- '#bitcoin'\n- '#nostr'\n---\n\n# Ostrich 27B - Qwen 3.5 with Improved Answers in Certain Domains\n\nOstrich LLMs, bringing you \"the knowledge that matters\".\n\n- Health, nutrition, medicinal herbs\n- Fasting, faith, healing\n- Liberating technologies like bitcoin and nostr\n\n## AHA average score **73%**\n\nPer domain:\n|domain|match percent|matched/total|\n|--|--|--|\n|faith | 84%|21/25|\n|fasting |  75% | 65/87|\n|health\t | 77% | 83/108|\n|nutrition | 61% | 44/72|\n|misinfo | 57% | 26/46|\n|bitcoin | 81% | 50/62|\n|alt-med | 80% | 45/56|\n|herbs | 83% | 25/30|\n|nostr | 60% | 27/45|\n\n\nWhy: https://huggingface.co/blog/etemiz/building-a-beneficial-ai\n\nComparison of some answers between another of our fine tune and base model: https://sheet.zohopublic.com/sheet/published/um332e3d15f34bfe64605ad3c1b149c9f8ca4 These answers are not from this model but it is a similar work.\n\nGSPO training made the thinking lengths shorter. I mainly targeted about 3000 letters (~1000 tokens) for thinking budget. If your Qwen 3.5 is endlessly reasoning, try this one.\n\nMethods used for fine tuning:\n- CPT\n- SFT\n- GSPO\n\nMy last article: https://huggingface.co/blog/etemiz/from-robots-that-prey-to-robots-that-pray\n\nThanks @unslothai for providing amazing tools.\n\nSponsored by https://pickabrain.ai\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "#aha",
    "#health",
    "#nutrition",
    "#medicinalherbs",
    "#fasting",
    "#faith",
    "#healing",
    "#bitcoin",
    "#nostr",
    "base_model:Qwen/Qwen3.5-27B",
    "base_model:quantized:Qwen/Qwen3.5-27B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 3010,
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  "last_modified": "2026-04-12T17:54:22.000Z",
  "created_at": "2026-04-12T00:12:30.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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