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mradermacher/llama-3_3-nemotron-super-49b-v1-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/nvidia/Llama-33-Nemotron-Super-49B-v1 *For a convenient overview and download list, visit our model page for this model.* static quants are available at https://huggingface.co/mradermacher/Llama-33-Nemotron-Super-49B-v1-GGUF

transformersggufnvidiallama-3pytorchenbase_model:nvidia/Llama-3_3-Nemotron-Super-49B-v1base_model:quantized:nvidia/Llama-3_3-Nemotron-Super-49B-v1license:otherendpoints_compatibleregion:usimatrixconversational
mradermacher/llama-3_3-nemotron-super-49b-v1-i1-gguf visual
Downloads
213
Likes
5
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ1_M.gguf GGUF IQ1_M 11.19 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ1_S.gguf GGUF IQ1_S 10.27 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_M.gguf GGUF IQ2_M 15.98 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_S.gguf GGUF IQ2_S 14.76 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_XS.gguf GGUF IQ2_XS 14.04 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_XXS.gguf GGUF IQ2_XXS 12.72 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_M.gguf GGUF IQ3_M 21.10 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_S.gguf GGUF IQ3_S 20.45 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_XS.gguf GGUF IQ3_XS 19.47 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_XXS.gguf GGUF IQ3_XXS 18.18 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-IQ4_XS.gguf GGUF IQ4_XS 25.03 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q2_K.gguf GGUF Q2_K 17.45 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q2_K_S.gguf GGUF Q2_K_S 16.30 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_L.gguf GGUF Q3_K_L 24.47 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_M.gguf GGUF Q3_K_M 22.64 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_S.gguf GGUF Q3_K_S 20.45 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_0.gguf GGUF 26.50 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_1.gguf GGUF 29.23 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_K_M.gguf GGUF Q4_K_M 28.14 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_K_S.gguf GGUF Q4_K_S 26.67 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q5_K_M.gguf GGUF Q5_K_M 32.96 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q5_K_S.gguf GGUF Q5_K_S 32.07 GB Download
Llama-3_3-Nemotron-Super-49B-v1.i1-Q6_K.gguf GGUF Q6_K 38.11 GB Download

Model Details Live

Model Slug
mradermacher/llama-3_3-nemotron-super-49b-v1-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-03-20
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
3ec035cf2f89b9cdcc1c2c645ad443b62a47bfee
License
other
Language
en
Base Model
nvidia/Llama-3_3-Nemotron-Super-49B-v1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "nvidia/Llama-3_3-Nemotron-Super-49B-v1",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "other",
    "license_link": "https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/",
    "license_name": "nvidia-open-model-license",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "nvidia",
      "llama-3",
      "pytorch"
    ],
    "frontmatter": {
      "base_model": "nvidia/Llama-3_3-Nemotron-Super-49B-v1",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "other",
      "license_link": "https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/",
      "license_name": "nvidia-open-model-license",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "nvidia",
        "llama-3",
        "pytorch"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: nvidia/Llama-3_3-Nemotron-Super-49B-v1\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nlicense_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/\nlicense_name: nvidia-open-model-license\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- nvidia\n- llama-3\n- pytorch\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ1_S.gguf) | i1-IQ1_S | 11.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 12.1 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 13.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 15.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_S.gguf) | i1-IQ2_S | 15.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 17.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 17.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q2_K.gguf) | i1-Q2_K | 18.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 19.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 21.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_S.gguf) | i1-IQ3_S | 22.1 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 22.1 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ3_M.gguf) | i1-IQ3_M | 22.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 24.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 26.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 27.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_0.gguf) | i1-Q4_0 | 28.6 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 28.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 30.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q4_1.gguf) | i1-Q4_1 | 31.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 34.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 35.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF/resolve/main/Llama-3_3-Nemotron-Super-49B-v1.i1-Q6_K.gguf) | i1-Q6_K | 41.0 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "nvidia",
    "llama-3",
    "pytorch",
    "en",
    "base_model:nvidia/Llama-3_3-Nemotron-Super-49B-v1",
    "base_model:quantized:nvidia/Llama-3_3-Nemotron-Super-49B-v1",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 5,
  "downloads": 213,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T08:28:49.000Z",
  "created_at": "2025-03-20T23:45:17.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67dca88d39fdee91f9595812",
  "id": "mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF",
  "modelId": "mradermacher/Llama-3_3-Nemotron-Super-49B-v1-i1-GGUF",
  "sha": "3ec035cf2f89b9cdcc1c2c645ad443b62a47bfee",
  "createdAt": "2025-03-20T23:45:17.000Z",
  "lastModified": "2025-07-11T08:28:49.000Z",
  "author": "mradermacher",
  "downloads": 213,
  "likes": 5,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 26
}