Model Intelligence Sheet
n0kovo/qwen3-vl-32b-instruct-heretic-v2-q4_k_m-gguf overview
This model was converted to GGUF format from n0kovo/Qwen3-VL-32B-Instruct-heretic-v2 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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777
Likes
5
Pipeline
image-text-to-text
Library
transformers
Visibility
Public
Access
Open
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Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers",
"tags": [
"heretic",
"uncensored",
"decensored",
"abliterated",
"llama-cpp",
"gguf-my-repo"
],
"base_model": "n0kovo/Qwen3-VL-32B-Instruct-heretic-v2",
"frontmatter": {
"license": "apache-2.0",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers",
"tags": [
"heretic",
"uncensored",
"decensored",
"abliterated",
"llama-cpp",
"gguf-my-repo"
],
"base_model": "n0kovo/Qwen3-VL-32B-Instruct-heretic-v2"
},
"hero_image_url": "",
"summary": "This model was converted to GGUF format from n0kovo/Qwen3-VL-32B-Instruct-heretic-v2 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": "---\nlicense: apache-2.0\npipeline_tag: image-text-to-text\nlibrary_name: transformers\ntags:\n- heretic\n- uncensored\n- decensored\n- abliterated\n- llama-cpp\n- gguf-my-repo\nbase_model: n0kovo/Qwen3-VL-32B-Instruct-heretic-v2\n---\n\n# n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`n0kovo/Qwen3-VL-32B-Instruct-heretic-v2`](https://huggingface.co/n0kovo/Qwen3-VL-32B-Instruct-heretic-v2) 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/n0kovo/Qwen3-VL-32B-Instruct-heretic-v2) 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 n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF --hf-file qwen3-vl-32b-instruct-heretic-v2-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF --hf-file qwen3-vl-32b-instruct-heretic-v2-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 n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF --hf-file qwen3-vl-32b-instruct-heretic-v2-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo n0kovo/Qwen3-VL-32B-Instruct-heretic-v2-Q4_K_M-GGUF --hf-file qwen3-vl-32b-instruct-heretic-v2-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:n0kovo/Qwen3-VL-32B-Instruct-heretic-v2",
"base_model:quantized:n0kovo/Qwen3-VL-32B-Instruct-heretic-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"likes": 5,
"downloads": 777,
"gated": false,
"private": false,
"last_modified": "2025-12-16T14:08:37.000Z",
"created_at": "2025-12-16T11:50:22.000Z",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
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"sha": "349bbde679de0f04e1bd54f40679e96ef971c363",
"createdAt": "2025-12-16T11:50:22.000Z",
"lastModified": "2025-12-16T14:08:37.000Z",
"author": "n0kovo",
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