devquasar/nvidia.nvidia-nemotron-nano-12b-v2-base-gguf Q3_K_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
devquasar/nvidia.nvidia-nemotron-nano-12b-v2-base-gguf overview
Quantized version of: nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base 'Make knowledge free for everyone' Made with
Downloads
123
Likes
0
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q2_K.gguf | GGUF | Q2_K | 4.38 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q3_K_L.gguf | GGUF | Q3_K_L | 5.94 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q3_K_M.gguf | GGUF | Q3_K_M | 5.61 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q3_K_S.gguf | GGUF | Q3_K_S | 5.19 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q4_K_M.gguf | GGUF | Q4_K_M | 6.98 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q4_K_S.gguf | GGUF | Q4_K_S | 6.71 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q5_K_M.gguf | GGUF | Q5_K_M | 8.16 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q5_K_S.gguf | GGUF | Q5_K_S | 7.98 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q6_K.gguf | GGUF | Q6_K | 9.42 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.Q8_0.gguf | GGUF | — | 12.19 GB | Download |
| nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base.f16.gguf | GGUF | F16 | 22.94 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base"
],
"pipeline_tag": "text-generation",
"frontmatter": {
"base_model": [
"nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base"
],
"pipeline_tag": "text-generation"
},
"hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
"summary": "Quantized version of: nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base 'Make knowledge free for everyone' Made with",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base\npipeline_tag: text-generation\n---\n\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\nQuantized version of: [nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base)\n\n'Make knowledge free for everyone'\n\n<p align=\"center\">\n Made with <br>\n <a href=\"https://www.civo.com/\" target=\"_blank\">\n <img src=\"https://www.civo.com/assets/public/brand-assets/civo-logo-colour-60cc1622dedf346f7afde1fff760523f731b0aac106a5465af98ff4073114b74.svg\" width=\"100\"/>\n </a>\n</p>\n\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>\n",
"related_quantizations": []
},
"tags": [
"gguf",
"text-generation",
"base_model:nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base",
"base_model:quantized:nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base",
"endpoints_compatible",
"region:us"
],
"likes": 0,
"downloads": 123,
"gated": false,
"private": false,
"last_modified": "2025-09-01T04:55:30.000Z",
"created_at": "2025-09-01T03:42:23.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68b5161f651365eaee570fa3",
"id": "DevQuasar/nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base-GGUF",
"modelId": "DevQuasar/nvidia.NVIDIA-Nemotron-Nano-12B-v2-Base-GGUF",
"sha": "2532cc84361c278ca669978e1e8a6ad23f1aaf96",
"createdAt": "2025-09-01T03:42:23.000Z",
"lastModified": "2025-09-01T04:55:30.000Z",
"author": "DevQuasar",
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"pipeline_tag": "text-generation",
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"siblings_count": 13
}