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mradermacher/aethora-7b-v1-gguf Q6_K 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/aethora-7b-v1-gguf overview

About static quants of https://huggingface.co/SteelStorage/Aethora-7b-v1 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

transformersggufnot-for-all-audiencesendataset:Steelskull/Aetherbase_model:SteelStorage/Aethora-7b-v1base_model:quantized:SteelStorage/Aethora-7b-v1license:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/aethora-7b-v1-gguf visual
Downloads
523
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

14 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Aethora-7b-v1.IQ3_M.gguf GGUF IQ3_M 3.20 GB Download
Aethora-7b-v1.IQ3_S.gguf GGUF IQ3_S 3.11 GB Download
Aethora-7b-v1.IQ3_XS.gguf GGUF IQ3_XS 2.96 GB Download
Aethora-7b-v1.IQ4_XS.gguf GGUF IQ4_XS 3.82 GB Download
Aethora-7b-v1.Q2_K.gguf GGUF Q2_K 2.68 GB Download
Aethora-7b-v1.Q3_K_L.gguf GGUF Q3_K_L 3.70 GB Download
Aethora-7b-v1.Q3_K_M.gguf GGUF Q3_K_M 3.42 GB Download
Aethora-7b-v1.Q3_K_S.gguf GGUF Q3_K_S 3.09 GB Download
Aethora-7b-v1.Q4_K_M.gguf GGUF Q4_K_M 4.21 GB Download
Aethora-7b-v1.Q4_K_S.gguf GGUF Q4_K_S 4.00 GB Download
Aethora-7b-v1.Q5_K_M.gguf GGUF Q5_K_M 4.92 GB Download
Aethora-7b-v1.Q5_K_S.gguf GGUF Q5_K_S 4.80 GB Download
Aethora-7b-v1.Q6_K.gguf GGUF Q6_K 5.68 GB Download
Aethora-7b-v1.Q8_0.gguf GGUF 7.28 GB Download

Model Details Live

Model Slug
mradermacher/aethora-7b-v1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-04-02
Last Modified
2024-12-16
Gated
No
Private
No
HF SHA
c3bc5bf202acf32bc90cf28b32b5993cc6cfba5f
License
apache-2.0
Language
en
Base Model
SteelStorage/Aethora-7b-v1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "SteelStorage/Aethora-7b-v1",
    "datasets": [
      "Steelskull/Aether"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "not-for-all-audiences"
    ],
    "frontmatter": {
      "base_model": "SteelStorage/Aethora-7b-v1",
      "datasets": [
        "Steelskull/Aether"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "not-for-all-audiences"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About   static quants of https://huggingface.co/SteelStorage/Aethora-7b-v1  weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: SteelStorage/Aethora-7b-v1\ndatasets:\n- Steelskull/Aether\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- not-for-all-audiences\n---\n## About\n\n<!-- ### convert_type:  -->\n<!-- ### vocab_type:  -->\nstatic quants of https://huggingface.co/SteelStorage/Aethora-7b-v1\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q2_K.gguf) | Q2_K | 3.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.IQ3_XS.gguf) | IQ3_XS | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q3_K_S.gguf) | Q3_K_S | 3.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.IQ3_S.gguf) | IQ3_S | 3.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.IQ3_M.gguf) | IQ3_M | 3.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q3_K_M.gguf) | Q3_K_M | 3.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q3_K_L.gguf) | Q3_K_L | 4.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.IQ4_XS.gguf) | IQ4_XS | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q5_K_S.gguf) | Q5_K_S | 5.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q5_K_M.gguf) | Q5_K_M | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q6_K.gguf) | Q6_K | 6.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Aethora-7b-v1-GGUF/resolve/main/Aethora-7b-v1.Q8_0.gguf) | Q8_0 | 7.9 | fast, best quality |\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",
    "not-for-all-audiences",
    "en",
    "dataset:Steelskull/Aether",
    "base_model:SteelStorage/Aethora-7b-v1",
    "base_model:quantized:SteelStorage/Aethora-7b-v1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 523,
  "gated": false,
  "private": false,
  "last_modified": "2024-12-16T03:37:20.000Z",
  "created_at": "2024-04-02T09:24:52.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "sha": "c3bc5bf202acf32bc90cf28b32b5993cc6cfba5f",
  "createdAt": "2024-04-02T09:24:52.000Z",
  "lastModified": "2024-12-16T03:37:20.000Z",
  "author": "mradermacher",
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