Model Intelligence Sheet
otakadelic/gemma-3-12b-it-abliterated-q4_k_m-gguf overview
This model was converted to GGUF format from huihui-ai/gemma-3-12b-it-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads
134
Likes
2
Pipeline
image-text-to-text
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
1 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-3-12b-it-abliterated-q4_k_m.gguf | GGUF | Q4_K_M | 6.80 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"base_model": "huihui-ai/gemma-3-12b-it-abliterated",
"library_name": "transformers",
"license": "gemma",
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"tags": [
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"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.",
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"base_model": "huihui-ai/gemma-3-12b-it-abliterated",
"library_name": "transformers",
"license": "gemma",
"pipeline_tag": "image-text-to-text",
"tags": [
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"gguf-my-repo"
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"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"
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"summary": "This model was converted to GGUF format from huihui-ai/gemma-3-12b-it-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
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"readme_markdown": "---\nbase_model: huihui-ai/gemma-3-12b-it-abliterated\nlibrary_name: transformers\nlicense: gemma\npipeline_tag: image-text-to-text\ntags:\n- abliterated\n- uncensored\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# Otakadelic/gemma-3-12b-it-abliterated-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`huihui-ai/gemma-3-12b-it-abliterated`](https://huggingface.co/huihui-ai/gemma-3-12b-it-abliterated) 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/huihui-ai/gemma-3-12b-it-abliterated) 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 Otakadelic/gemma-3-12b-it-abliterated-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo Otakadelic/gemma-3-12b-it-abliterated-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-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 Otakadelic/gemma-3-12b-it-abliterated-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo Otakadelic/gemma-3-12b-it-abliterated-Q4_K_M-GGUF --hf-file gemma-3-12b-it-abliterated-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
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"base_model:huihui-ai/gemma-3-12b-it-abliterated",
"base_model:quantized:huihui-ai/gemma-3-12b-it-abliterated",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 134,
"gated": false,
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"last_modified": "2025-03-25T10:01:36.000Z",
"created_at": "2025-03-25T10:01:02.000Z",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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