devquasar/nvidia.nemotron-terminal-32b-gguf Q5_K_M 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.nemotron-terminal-32b-gguf overview
Quantized version of: nvidia/Nemotron-Terminal-32B 'Make knowledge free for everyone' Made with
Downloads
439
Likes
0
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| nvidia.Nemotron-Terminal-32B.Q2_K.gguf | GGUF | Q2_K | 11.50 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q3_K_L.gguf | GGUF | Q3_K_L | 16.14 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q3_K_M.gguf | GGUF | Q3_K_M | 14.87 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q3_K_S.gguf | GGUF | Q3_K_S | 13.40 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q4_K_M.gguf | GGUF | Q4_K_M | 18.40 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q4_K_S.gguf | GGUF | Q4_K_S | 17.48 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q5_K_M.gguf | GGUF | Q5_K_M | 21.62 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q5_K_S.gguf | GGUF | Q5_K_S | 21.08 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q6_K.gguf | GGUF | Q6_K | 25.04 GB | Download |
| nvidia.Nemotron-Terminal-32B.Q8_0.gguf | GGUF | — | 32.43 GB | Download |
| nvidia.Nemotron-Terminal-32B.f16-00001-of-00002.gguf | GGUF | F16 | 37.13 GB | Download |
| nvidia.Nemotron-Terminal-32B.f16-00002-of-00002.gguf | GGUF | F16 | 23.90 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"nvidia/Nemotron-Terminal-32B"
],
"pipeline_tag": "text-generation",
"frontmatter": {
"base_model": [
"nvidia/Nemotron-Terminal-32B"
],
"pipeline_tag": "text-generation"
},
"hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
"summary": "Quantized version of: nvidia/Nemotron-Terminal-32B 'Make knowledge free for everyone' Made with",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- nvidia/Nemotron-Terminal-32B\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/Nemotron-Terminal-32B](https://huggingface.co/nvidia/Nemotron-Terminal-32B)\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/Nemotron-Terminal-32B",
"base_model:quantized:nvidia/Nemotron-Terminal-32B",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 439,
"gated": false,
"private": false,
"last_modified": "2026-03-12T00:25:48.000Z",
"created_at": "2026-03-11T21:39:58.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69b1e12e8a9a6deef5a0a24c",
"id": "DevQuasar/nvidia.Nemotron-Terminal-32B-GGUF",
"modelId": "DevQuasar/nvidia.Nemotron-Terminal-32B-GGUF",
"sha": "e1d85d40f289098dbaa9d154030578fc7e04c7a0",
"createdAt": "2026-03-11T21:39:58.000Z",
"lastModified": "2026-03-12T00:25:48.000Z",
"author": "DevQuasar",
"downloads": 439,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "",
"siblings_count": 14
}