ggml-org/nemotron-3-nano-4b-gguf Q8_0 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.
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ggml-org/nemotron-3-nano-4b-gguf overview
Recommended way to run this model: Links:
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Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16"
],
"frontmatter": {
"base_model": [
"nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16"
]
},
"hero_image_url": "",
"summary": "Recommended way to run this model: ``sh llama-server -hf ggml-org/Nemotron-3-Nano-4B-GGUF `` Links:",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16\n---\n\n# Nemotron-3-Nano-4B GGUF\n\nRecommended way to run this model:\n\n```sh\nllama-server -hf ggml-org/Nemotron-3-Nano-4B-GGUF\n```\n\nLinks:\n\n- [Performance of NVIDIA Nemotron 3 models with llama.cpp](https://github.com/ggml-org/llama.cpp/discussions/20421)",
"related_quantizations": []
},
"tags": [
"gguf",
"base_model:nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16",
"base_model:quantized:nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 792,
"gated": false,
"private": false,
"last_modified": "2026-03-16T19:46:15.000Z",
"created_at": "2026-03-16T19:40:25.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69b85ca95bff04a265c3b47a",
"id": "ggml-org/Nemotron-3-Nano-4B-GGUF",
"modelId": "ggml-org/Nemotron-3-Nano-4B-GGUF",
"sha": "12f6af4d6fcafbfe54f29c4c7e26ccb6f4bea0c2",
"createdAt": "2026-03-16T19:40:25.000Z",
"lastModified": "2026-03-16T19:46:15.000Z",
"author": "ggml-org",
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"likes": 2,
"gated": false,
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"pipeline_tag": "",
"library_name": "",
"siblings_count": 4
}