duyntnet/gemma-3-glitter-12b-imatrix-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "other",
    "language": [
      "en"
    ],
    "pipeline_tag": "text-generation",
    "inference": false,
    "tags": [
      "transformers",
      "gguf",
      "imatrix",
      "Gemma-3-Glitter-12B"
    ],
    "frontmatter": {
      "license": "other",
      "language": [
        "en"
      ],
      "pipeline_tag": "text-generation",
      "inference": "false",
      "tags": [
        "transformers",
        "gguf",
        "imatrix",
        "Gemma-3-Glitter-12B"
      ]
    },
    "hero_image_url": "https://huggingface.co/allura-org/Gemma-3-Glitter-12B/resolve/main/ComfyUI_02427_.png",
    "summary": "A creative writing model based on Gemma 3 12B IT. This is a 50/50 merge of two separate trains: **Update**: Vision has returned to this model, rejoice.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- Gemma-3-Glitter-12B\n---\n\nQuantizations of https://huggingface.co/allura-org/Gemma-3-Glitter-12B\n\n\n### Open source inference clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [jan](https://github.com/janhq/jan)\n\n### Closed source inference clients/UIs\n* [LM Studio](https://lmstudio.ai/)\n* [Backyard AI](https://backyard.ai/)\n* More will be added...\n---\n\n# From original readme\n\n<figure>\n  <img src=\"https://huggingface.co/allura-org/Gemma-3-Glitter-12B/resolve/main/ComfyUI_02427_.png\" width=\"600\">\n</figure>\n\nA creative writing model based on Gemma 3 12B IT. \n\nThis is a 50/50 merge of two separate trains:\n- [ToastyPigeon/g3-12b-rp-system-v0.1](https://huggingface.co/ToastyPigeon/g3-12b-rp-system-v0.1) - ~13.5M tokens of instruct-based training related to RP (2:1 human to synthetic) and examples using a system prompt.\n- [ToastyPigeon/g3-12b-storyteller-v0.2-textonly](https://huggingface.co/ToastyPigeon/g3-12b-storyteller-v0.2-textonly) - ~20M tokens of completion training on long-form creative writing; 1.6M synthetic from R1, the rest human-created \n\n**Update**: Vision has returned to this model, rejoice. \n\n## Instruct Format\n\nUses Gemma2/3 instruct, but has been trained to recognize an optional system role.\n```\n<start_of_turn>system\n{optional system turn with prompt}<end_of_turn>\n<start_of_turn>user\n{User messages; can also put sysprompt here to use the built-in g3 training}<end_of_turn>\n<start_of_turn>model\n{model response}<end_of_turn>\n```",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "imatrix",
    "Gemma-3-Glitter-12B",
    "text-generation",
    "en",
    "license:other",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 2059,
  "gated": false,
  "private": false,
  "last_modified": "2025-06-18T11:42:48.000Z",
  "created_at": "2025-06-18T10:20:31.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

{
  "_id": "685292efc976dd45c014e553",
  "id": "duyntnet/Gemma-3-Glitter-12B-imatrix-GGUF",
  "modelId": "duyntnet/Gemma-3-Glitter-12B-imatrix-GGUF",
  "sha": "417cddf45b8a6f8977920b251258ec5f58855124",
  "createdAt": "2025-06-18T10:20:31.000Z",
  "lastModified": "2025-06-18T11:42:48.000Z",
  "author": "duyntnet",
  "downloads": 2059,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 29
}