mradermacher/aethora-7b-v1-gguf IQ3_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/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.
Downloads
523
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| 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
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\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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"createdAt": "2024-04-02T09:24:52.000Z",
"lastModified": "2024-12-16T03:37:20.000Z",
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