devquasar/nvidia.nvidia-nemotron-3-nano-30b-a3b-base-bf16-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-3-nano-30b-a3b-base-bf16-gguf overview
'Make knowledge free for everyone' Quantized version of: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
Downloads
218
Likes
1
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
6 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q2_K.gguf | GGUF | BF16 | 16.68 GB | Download |
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q3_K_M.gguf | GGUF | BF16 | 18.49 GB | Download |
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q4_K_M.gguf | GGUF | BF16 | 22.83 GB | Download |
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q5_K_M.gguf | GGUF | BF16 | 24.25 GB | Download |
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q6_K.gguf | GGUF | BF16 | 31.21 GB | Download |
| nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16.f16.gguf.Q8_0.gguf | GGUF | BF16 | 31.28 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16"
],
"pipeline_tag": "text-generation",
"frontmatter": {
"base_model": [
"nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16"
],
"pipeline_tag": "text-generation"
},
"hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
"summary": "'Make knowledge free for everyone' Quantized version of: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16\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\n'Make knowledge free for everyone'\n\nQuantized version of: [nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16)\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-3-Nano-30B-A3B-Base-BF16",
"base_model:quantized:nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 218,
"gated": false,
"private": false,
"last_modified": "2026-03-17T04:47:49.000Z",
"created_at": "2026-03-16T22:43:10.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69b8877e52878c901f1d780a",
"id": "DevQuasar/nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16-GGUF",
"modelId": "DevQuasar/nvidia.NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16-GGUF",
"sha": "ee3b8b955cb67f8cdefa9158e033384e71d6b5d7",
"createdAt": "2026-03-16T22:43:10.000Z",
"lastModified": "2026-03-17T04:47:49.000Z",
"author": "DevQuasar",
"downloads": 218,
"likes": 1,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "",
"siblings_count": 8
}