Model Intelligence Sheet
second-state/nemotron-mini-4b-instruct-gguf overview
Comprehensive model page for second-state/nemotron-mini-4b-instruct-gguf
Downloads
234
Likes
1
Pipeline
—
Library
nemo
Visibility
Public
Access
Open
Repository Files & Downloads
26 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| NVIDIA-Nemotron-Nano-9B-v2-Q2_K.gguf | GGUF | Q2_K | 4.66 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2-Q3_K_L.gguf | GGUF | Q3_K_L | 5.11 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2-Q3_K_M.gguf | GGUF | Q3_K_M | 5.01 GB | Download |
| NVIDIA-Nemotron-Nano-9B-v2-Q3_K_S.gguf | GGUF | Q3_K_S | 4.78 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_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-f16.gguf | GGUF | F16 | 16.57 GB | Download |
| Nemotron-Mini-4B-Instruct-Q2_K.gguf | GGUF | Q2_K | 1.77 GB | Download |
| Nemotron-Mini-4B-Instruct-Q3_K_L.gguf | GGUF | Q3_K_L | 2.28 GB | Download |
| Nemotron-Mini-4B-Instruct-Q3_K_M.gguf | GGUF | Q3_K_M | 2.14 GB | Download |
| Nemotron-Mini-4B-Instruct-Q3_K_S.gguf | GGUF | Q3_K_S | 1.97 GB | Download |
| Nemotron-Mini-4B-Instruct-Q4_0.gguf | GGUF | — | 2.39 GB | Download |
| Nemotron-Mini-4B-Instruct-Q4_K_M.gguf | GGUF | Q4_K_M | 2.51 GB | Download |
| Nemotron-Mini-4B-Instruct-Q4_K_S.gguf | GGUF | Q4_K_S | 2.41 GB | Download |
| Nemotron-Mini-4B-Instruct-Q5_0.gguf | GGUF | — | 2.79 GB | Download |
| Nemotron-Mini-4B-Instruct-Q5_K_M.gguf | GGUF | Q5_K_M | 2.85 GB | Download |
| Nemotron-Mini-4B-Instruct-Q5_K_S.gguf | GGUF | Q5_K_S | 2.79 GB | Download |
| Nemotron-Mini-4B-Instruct-Q6_K.gguf | GGUF | Q6_K | 3.21 GB | Download |
| Nemotron-Mini-4B-Instruct-Q8_0.gguf | GGUF | — | 4.15 GB | Download |
| Nemotron-Mini-4B-Instruct-f16.gguf | GGUF | F16 | 7.81 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "nvidia/Nemotron-Mini-4B-Instruct",
"license": "other",
"license_name": "nvidia-community-model-license",
"inference": false,
"model_creator": "nvidia",
"model_name": "Nemotron-Mini-4B-Instruct",
"quantized_by": "Second State Inc.",
"library_name": "nemo",
"frontmatter": {
"base_model": "nvidia/Nemotron-Mini-4B-Instruct",
"license": "other",
"license_name": "nvidia-community-model-license",
"inference": "false",
"model_creator": "nvidia",
"model_name": "Nemotron-Mini-4B-Instruct",
"quantized_by": "Second State Inc.",
"library_name": "nemo"
},
"hero_image_url": "https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: nvidia/Nemotron-Mini-4B-Instruct\nlicense: other\nlicense_name: nvidia-community-model-license\ninference: false\nmodel_creator: nvidia\nmodel_name: Nemotron-Mini-4B-Instruct\nquantized_by: Second State Inc.\nlibrary_name: nemo\n---\n\n<!-- header start -->\n<!-- 200823 -->\n<div style=\"width: auto; margin-left: auto; margin-right: auto\">\n<img src=\"https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg\" style=\"width: 100%; min-width: 400px; display: block; margin: auto;\">\n</div>\n<hr style=\"margin-top: 1.0em; margin-bottom: 1.0em;\">\n<!-- header end -->\n\n# Nemotron-Mini-4B-Instruct-GGUF\n\n## Original Model\n\n[nvidia/Nemotron-Mini-4B-Instruct](https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct)\n\n## Run with LlamaEdge\n\n- LlamaEdge version: coming soon\n\n<!-- - LlamaEdge version: [v0.14.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.2) and above -->\n\n- Prompt template\n\n - Prompt type: `nemotron-chat`\n\n - Prompt string\n\n ```text\n <extra_id_0>System\n {system_message}\n <extra_id_1>User\n {user_message_1}<extra_id_1>Assistant\n {assistant_message_1}\n <extra_id_1>User\n {user_message_2}<extra_id_1>Assistant\n {assistant_message_2}\n <extra_id_1>User\n {user_message_3}\n <extra_id_1>Assistant\\n\n ```\n\n - Tool use\n\n ```text\n <extra_id_0>System\n {system_message}\n <tool> {tool_1} </tool>\n <tool> {tool_2} </tool>\n \n \n <extra_id_1>User\n {user_message_1}<extra_id_1>Assistant\n <toolcall> {tool_call_message} </toolcall>\n <extra_id_1>Tool\n {tool_result_message}\n <extra_id_1>Assistant\\n\n ```\n\n- Context size: `4096`\n\n- Run as LlamaEdge service\n\n ```bash\n wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \\\n llama-api-server.wasm \\\n --prompt-template nemotron-chat \\\n --ctx-size 4096 \\\n --model-name Nemotron-Mini-4B-Instruct\n ```\n\n - Tool use\n\n ```bash\n wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \\\n llama-api-server.wasm \\\n --prompt-template nemotron-tool \\\n --ctx-size 4096 \\\n --model-name Nemotron-Mini-4B-Instruct\n ```\n\n- Run as LlamaEdge command app\n\n ```bash\n wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \\\n llama-chat.wasm \\\n --prompt-template nemotron-chat \\\n --ctx-size 4096\n ```\n\n## Quantized GGUF Models\n\n| Name | Quant method | Bits | Size | Use case |\n| ---- | ---- | ---- | ---- | ----- |\n| [Nemotron-Mini-4B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.35 GB| smallest, significant quality loss - not recommended for most purposes |\n| [Nemotron-Mini-4B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.69 GB| small, substantial quality loss |\n| [Nemotron-Mini-4B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.32 GB| very small, high quality loss |\n| [Nemotron-Mini-4B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.90 GB| very small, high quality loss |\n| [Nemotron-Mini-4B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 5.04 GB| legacy; small, very high quality loss - prefer using Q3_K_M |\n| [Nemotron-Mini-4B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 5.33 GB| medium, balanced quality - recommended |\n| [Nemotron-Mini-4B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 5.07 GB| small, greater quality loss |\n| [Nemotron-Mini-4B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 6.11 GB| legacy; medium, balanced quality - prefer using Q4_K_M |\n| [Nemotron-Mini-4B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 6.26 GB| large, very low quality loss - recommended |\n| [Nemotron-Mini-4B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 6.11 GB| large, low quality loss - recommended |\n| [Nemotron-Mini-4B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q6_K.gguf) | Q6_K | 6 | 7.25 GB| very large, extremely low quality loss |\n| [Nemotron-Mini-4B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 9.38 GB| very large, extremely low quality loss - not recommended |\n| [Nemotron-Mini-4B-Instruct-f16.gguf](https://huggingface.co/second-state/Nemotron-Mini-4B-Instruct-GGUF/blob/main/Nemotron-Mini-4B-Instruct-f16.gguf) | f16 | 16 | 17.7 GB| |\n\n*Quantized with llama.cpp b3751*",
"related_quantizations": []
},
"tags": [
"nemo",
"gguf",
"base_model:nvidia/Nemotron-Mini-4B-Instruct",
"base_model:quantized:nvidia/Nemotron-Mini-4B-Instruct",
"license:other",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 234,
"gated": false,
"private": false,
"last_modified": "2025-08-29T03:03:36.000Z",
"created_at": "2024-09-15T12:00:19.000Z",
"pipeline_tag": "",
"library_name": "nemo"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "66e6cc537723058632b2a98b",
"id": "second-state/Nemotron-Mini-4B-Instruct-GGUF",
"modelId": "second-state/Nemotron-Mini-4B-Instruct-GGUF",
"sha": "216fa6d1abe430989f0242f6b29eb77f35f0fc28",
"createdAt": "2024-09-15T12:00:19.000Z",
"lastModified": "2025-08-29T03:03:36.000Z",
"author": "second-state",
"downloads": 234,
"likes": 1,
"gated": false,
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"pipeline_tag": "",
"library_name": "nemo",
"siblings_count": 29
}