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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.

Model Intelligence Sheet

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。

ggufenjadataset:TFMC/imatrix-dataset-for-japanese-llmbase_model:nvidia/Llama-3_3-Nemotron-Super-49B-v1base_model:quantized:nvidia/Llama-3_3-Nemotron-Super-49B-v1license:unknownendpoints_compatibleregion:usimatrixconversational
mmnga/llama-3_3-nemotron-super-49b-v1-gguf visual
Downloads
1,034
Likes
1
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
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

Model Slug
mmnga/llama-3_3-nemotron-super-49b-v1-gguf
Author
mmnga
Pipeline Task
Library
Created
2025-03-19
Last Modified
2025-03-19
Gated
No
Private
No
HF SHA
164c12e88c33238fd55be0f8688ee09133d6fb77
License
Unknown
Language
Unknown
Base Model
Unknown

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,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 27
}