mmnga/llama-3_3-nemotron-super-49b-v1-gguf IQ4_NL 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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mmnga/llama-3_3-nemotron-super-49b-v1-gguf overview
nvidiaさんが公開しているLlama-3_3-Nemotron-Super-49B-v1のggufフォーマット変換版です。 imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
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Repository Files & Downloads
23 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-3_3-Nemotron-Super-49B-v1-IQ1_M.gguf | GGUF | IQ1_M | 11.19 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ1_S.gguf | GGUF | IQ1_S | 10.27 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ2_M.gguf | GGUF | IQ2_M | 15.98 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ2_S.gguf | GGUF | IQ2_S | 14.76 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ2_XS.gguf | GGUF | IQ2_XS | 14.04 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 12.72 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ3_M.gguf | GGUF | IQ3_M | 21.10 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ3_S.gguf | GGUF | IQ3_S | 20.45 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ3_XS.gguf | GGUF | IQ3_XS | 19.47 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 18.18 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ4_NL.gguf | GGUF | IQ4_NL | 26.43 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-IQ4_XS.gguf | GGUF | IQ4_XS | 25.03 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q2_K.gguf | GGUF | Q2_K | 17.45 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q3_K_L.gguf | GGUF | Q3_K_L | 24.47 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q3_K_M.gguf | GGUF | Q3_K_M | 22.64 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q3_K_S.gguf | GGUF | Q3_K_S | 20.45 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q4_0.gguf | GGUF | — | 26.39 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M.gguf | GGUF | Q4_K_M | 28.14 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q4_K_S.gguf | GGUF | Q4_K_S | 26.67 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q5_0.gguf | GGUF | — | 32.07 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q5_K_M.gguf | GGUF | Q5_K_M | 32.96 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q5_K_S.gguf | GGUF | Q5_K_S | 32.07 GB | Download |
| Llama-3_3-Nemotron-Super-49B-v1-Q6_K.gguf | GGUF | Q6_K | 38.11 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "unknown",
"language": [
"en",
"ja"
],
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"base_model": [
"nvidia/Llama-3_3-Nemotron-Super-49B-v1"
],
"frontmatter": {},
"hero_image_url": "",
"summary": "nvidiaさんが公開しているLlama-3_3-Nemotron-Super-49B-v1のggufフォーマット変換版です。 imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "\n---\nlicense: unknown\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\nbase_model:\n- nvidia/Llama-3_3-Nemotron-Super-49B-v1\n---\n\n# Llama-3_3-Nemotron-Super-49B-v1-gguf\n[nvidiaさんが公開しているLlama-3_3-Nemotron-Super-49B-v1](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1)のggufフォーマット変換版です。 \n\nimatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。 \n \n## Usage\n\n```\ngit clone https://github.com/ggml-org/llama.cpp.git\ncd llama.cpp\ncmake -B build -DGGML_CUDA=ON\ncmake --build build --config Release\nbuild/bin/llama-cli -m 'Llama-3_3-Nemotron-Super-49B-v1-gguf' -n 128 -c 128 -p 'あなたはプロの料理人です。レシピを教えて' -cnv\n```\n",
"related_quantizations": []
},
"tags": [
"gguf",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"base_model:nvidia/Llama-3_3-Nemotron-Super-49B-v1",
"base_model:quantized:nvidia/Llama-3_3-Nemotron-Super-49B-v1",
"license:unknown",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 1,
"downloads": 1034,
"gated": false,
"private": false,
"last_modified": "2025-03-19T23:09:21.000Z",
"created_at": "2025-03-19T11:43:26.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67daadde7ba901240e47c0b7",
"id": "mmnga/Llama-3_3-Nemotron-Super-49B-v1-gguf",
"modelId": "mmnga/Llama-3_3-Nemotron-Super-49B-v1-gguf",
"sha": "164c12e88c33238fd55be0f8688ee09133d6fb77",
"createdAt": "2025-03-19T11:43:26.000Z",
"lastModified": "2025-03-19T23:09:21.000Z",
"author": "mmnga",
"downloads": 1034,
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"gated": false,
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"siblings_count": 27
}