nocturne23/gemma-3-12b-it-q4_k_m-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "google/gemma-3-12b-it",
    "library_name": "transformers",
    "license": "gemma",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "llama-cpp",
      "gguf-my-repo"
    ],
    "extra_gated_heading": "Access Gemma on Hugging Face",
    "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.",
    "extra_gated_button_content": "Acknowledge license",
    "frontmatter": {
      "base_model": "google/gemma-3-12b-it",
      "library_name": "transformers",
      "license": "gemma",
      "pipeline_tag": "image-text-to-text",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
      ],
      "extra_gated_heading": "Access Gemma on Hugging Face",
      "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and",
      "extra_gated_button_content": "Acknowledge license"
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from google/gemma-3-12b-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: google/gemma-3-12b-it\nlibrary_name: transformers\nlicense: gemma\npipeline_tag: image-text-to-text\ntags:\n- llama-cpp\n- gguf-my-repo\nextra_gated_heading: Access Gemma on Hugging Face\nextra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and\n  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging\n  Face and click below. Requests are processed immediately.\nextra_gated_button_content: Acknowledge license\n---\n\n# nocturne23/gemma-3-12b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`google/gemma-3-12b-it`](https://huggingface.co/google/gemma-3-12b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/google/gemma-3-12b-it) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo nocturne23/gemma-3-12b-it-Q4_K_M-GGUF --hf-file gemma-3-12b-it-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo nocturne23/gemma-3-12b-it-Q4_K_M-GGUF --hf-file gemma-3-12b-it-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo nocturne23/gemma-3-12b-it-Q4_K_M-GGUF --hf-file gemma-3-12b-it-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo nocturne23/gemma-3-12b-it-Q4_K_M-GGUF --hf-file gemma-3-12b-it-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "image-text-to-text",
    "base_model:google/gemma-3-12b-it",
    "base_model:quantized:google/gemma-3-12b-it",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 2092,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-13T01:05:07.000Z",
  "created_at": "2025-03-13T01:04:19.000Z",
  "pipeline_tag": "image-text-to-text",
  "library_name": "transformers"
}

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  "sha": "2dbea714de33dbdd7fa37e33856330a51c45d116",
  "createdAt": "2025-03-13T01:04:19.000Z",
  "lastModified": "2025-03-13T01:05:07.000Z",
  "author": "nocturne23",
  "downloads": 2092,
  "likes": 2,
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  "pipeline_tag": "image-text-to-text",
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