Model Intelligence Sheet
tatsuyaaaaaaa/nvidia-nemotron-nano-9b-v2-gguf overview
NVIDIAのNVIDIA-Nemotron-Nano-9B-v2をgguf変換したものです。 imatrix量子化時にはTFMC/imatrix-dataset-for-japanese-llmのデータセットを用いています。
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Visibility
Public
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Open
Repository Files & Downloads
15 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| NVIDIA-Nemotron-Nano-9B-v2_IQ3_M.gguf | GGUF | IQ3_M | 4.85 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_IQ3_S.gguf | GGUF | IQ3_S | 4.78 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_IQ3_XS.gguf | GGUF | IQ3_XS | 4.78 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_IQ4_NL.gguf | GGUF | IQ4_NL | 4.94 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_IQ4_XS.gguf | GGUF | IQ4_XS | 4.91 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q4_0.gguf | GGUF | — | 4.94 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q4_K_M.gguf | GGUF | Q4_K_M | 6.08 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q4_K_S.gguf | GGUF | Q4_K_S | 5.79 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q5_0.gguf | GGUF | — | 5.91 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q5_1.gguf | GGUF | — | 6.39 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q5_K_M.gguf | GGUF | Q5_K_M | 6.58 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q5_K_S.gguf | GGUF | Q5_K_S | 6.32 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q6_K.gguf | GGUF | Q6_K | 8.51 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_Q8_0.gguf | GGUF | — | 8.81 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2_bf16.gguf | GGUF | BF16 | 16.57 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"language": [
"en",
"ja"
],
"base_model": [
"nvidia/NVIDIA-Nemotron-Nano-9B-v2"
],
"frontmatter": {
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"language": [
"en",
"ja"
],
"base_model": [
"nvidia/NVIDIA-Nemotron-Nano-9B-v2"
]
},
"hero_image_url": "",
"summary": "NVIDIAのNVIDIA-Nemotron-Nano-9B-v2をgguf変換したものです。 imatrix量子化時にはTFMC/imatrix-dataset-for-japanese-llmのデータセットを用いています。",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\nlanguage:\n- en\n- ja\nbase_model:\n- nvidia/NVIDIA-Nemotron-Nano-9B-v2\n---\n\nNVIDIAの[NVIDIA-Nemotron-Nano-9B-v2](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2)をgguf変換したものです。\n\nimatrix量子化時には[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)のデータセットを用いています。",
"related_quantizations": []
},
"tags": [
"gguf",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"base_model:nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"base_model:quantized:nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 3874,
"gated": false,
"private": false,
"last_modified": "2026-04-01T05:47:05.000Z",
"created_at": "2025-08-30T01:00:40.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68b24d387d1f62b0b7b1bf6e",
"id": "tatsuyaaaaaaa/NVIDIA-Nemotron-Nano-9B-v2-gguf",
"modelId": "tatsuyaaaaaaa/NVIDIA-Nemotron-Nano-9B-v2-gguf",
"sha": "65de8378b7edcb610644f44c3a406b3845426260",
"createdAt": "2025-08-30T01:00:40.000Z",
"lastModified": "2026-04-01T05:47:05.000Z",
"author": "tatsuyaaaaaaa",
"downloads": 3874,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 17
}