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mradermacher/aronnax-n9bv2-1.0-gguf Q5_K_M 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

mradermacher/aronnax-n9bv2-1.0-gguf overview

About static quants of https://huggingface.co/Mitchins/Aronnax-N9Bv2-1.0 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-i1-GGUF

transformersgguftext-generationliteraryprosecreative-writingnarrativenemotronenbase_model:Mitchins/Aronnax-N9Bv2-1.0base_model:quantized:Mitchins/Aronnax-N9Bv2-1.0license:apache-2.0endpoints_compatibleregion:us
mradermacher/aronnax-n9bv2-1.0-gguf visual
Downloads
112
Likes
0
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Aronnax-N9Bv2-1.0.IQ4_XS.gguf GGUF IQ4_XS 4.99 GB Download
Aronnax-N9Bv2-1.0.Q2_K.gguf GGUF Q2_K 4.66 GB Download
Aronnax-N9Bv2-1.0.Q3_K_L.gguf GGUF Q3_K_L 5.11 GB Download
Aronnax-N9Bv2-1.0.Q3_K_M.gguf GGUF Q3_K_M 5.01 GB Download
Aronnax-N9Bv2-1.0.Q3_K_S.gguf GGUF Q3_K_S 4.78 GB Download
Aronnax-N9Bv2-1.0.Q4_K_M.gguf GGUF Q4_K_M 6.08 GB Download
Aronnax-N9Bv2-1.0.Q4_K_S.gguf GGUF Q4_K_S 5.79 GB Download
Aronnax-N9Bv2-1.0.Q5_K_M.gguf GGUF Q5_K_M 6.58 GB Download
Aronnax-N9Bv2-1.0.Q5_K_S.gguf GGUF Q5_K_S 6.32 GB Download
Aronnax-N9Bv2-1.0.Q6_K.gguf GGUF Q6_K 8.51 GB Download
Aronnax-N9Bv2-1.0.Q8_0.gguf GGUF 8.81 GB Download
Aronnax-N9Bv2-1.0.f16.gguf GGUF F16 16.57 GB Download

Model Details Live

Model Slug
mradermacher/aronnax-n9bv2-1.0-gguf
Author
mradermacher
Pipeline Task
text-generation
Library
transformers
Created
2026-01-19
Last Modified
2026-01-19
Gated
No
Private
No
HF SHA
21e5128eb4ad1d03c85b455a58be184773983146
License
apache-2.0
Language
en
Base Model
Mitchins/Aronnax-N9Bv2-1.0

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Mitchins/Aronnax-N9Bv2-1.0",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "model_name": "Aronnax-N9Bv2-1.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation",
      "literary",
      "prose",
      "creative-writing",
      "narrative",
      "nemotron"
    ],
    "frontmatter": {
      "base_model": "Mitchins/Aronnax-N9Bv2-1.0",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "model_name": "Aronnax-N9Bv2-1.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation",
        "literary",
        "prose",
        "creative-writing",
        "narrative",
        "nemotron"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/Mitchins/Aronnax-N9Bv2-1.0  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Mitchins/Aronnax-N9Bv2-1.0\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmodel_name: Aronnax-N9Bv2-1.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation\n- literary\n- prose\n- creative-writing\n- narrative\n- nemotron\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/Mitchins/Aronnax-N9Bv2-1.0\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#Aronnax-N9Bv2-1.0-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-i1-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/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q2_K.gguf) | Q2_K | 5.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q3_K_S.gguf) | Q3_K_S | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.IQ4_XS.gguf) | IQ4_XS | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q3_K_M.gguf) | Q3_K_M | 5.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q3_K_L.gguf) | Q3_K_L | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q4_K_S.gguf) | Q4_K_S | 6.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q4_K_M.gguf) | Q4_K_M | 6.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q5_K_S.gguf) | Q5_K_S | 6.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q5_K_M.gguf) | Q5_K_M | 7.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q6_K.gguf) | Q6_K | 9.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.Q8_0.gguf) | Q8_0 | 9.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Aronnax-N9Bv2-1.0-GGUF/resolve/main/Aronnax-N9Bv2-1.0.f16.gguf) | f16 | 17.9 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation",
    "literary",
    "prose",
    "creative-writing",
    "narrative",
    "nemotron",
    "en",
    "base_model:Mitchins/Aronnax-N9Bv2-1.0",
    "base_model:quantized:Mitchins/Aronnax-N9Bv2-1.0",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 112,
  "gated": false,
  "private": false,
  "last_modified": "2026-01-19T14:14:18.000Z",
  "created_at": "2026-01-19T00:34:46.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/Aronnax-N9Bv2-1.0-GGUF",
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  "sha": "21e5128eb4ad1d03c85b455a58be184773983146",
  "createdAt": "2026-01-19T00:34:46.000Z",
  "lastModified": "2026-01-19T14:14:18.000Z",
  "author": "mradermacher",
  "downloads": 112,
  "likes": 0,
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  "pipeline_tag": "text-generation",
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  "siblings_count": 14
}