Model Intelligence Sheet
mradermacher/vortex-3b-v2-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/OEvortex/vortex-3b-v2 static quants are available at https://huggingface.co/mradermacher/vortex-3b-v2-GGUF
Downloads
104
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| vortex-3b-v2.i1-IQ1_M.gguf | GGUF | IQ1_M | 674.21 MB | Download |
| vortex-3b-v2.i1-IQ1_S.gguf | GGUF | IQ1_S | 624.99 MB | Download |
| vortex-3b-v2.i1-IQ2_M.gguf | GGUF | IQ2_M | 944.49 MB | Download |
| vortex-3b-v2.i1-IQ2_S.gguf | GGUF | IQ2_S | 878.87 MB | Download |
| vortex-3b-v2.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 828.12 MB | Download |
| vortex-3b-v2.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 756.24 MB | Download |
| vortex-3b-v2.i1-IQ3_M.gguf | GGUF | IQ3_M | 1.28 GB | Download |
| vortex-3b-v2.i1-IQ3_S.gguf | GGUF | IQ3_S | 1.16 GB | Download |
| vortex-3b-v2.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 1.14 GB | Download |
| vortex-3b-v2.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 1.05 GB | Download |
| vortex-3b-v2.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 1.49 GB | Download |
| vortex-3b-v2.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 1.41 GB | Download |
| vortex-3b-v2.i1-Q2_K.gguf | GGUF | Q2_K | 1.01 GB | Download |
| vortex-3b-v2.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 957.70 MB | Download |
| vortex-3b-v2.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 1.49 GB | Download |
| vortex-3b-v2.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 1.38 GB | Download |
| vortex-3b-v2.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 1.16 GB | Download |
| vortex-3b-v2.i1-Q4_0.gguf | GGUF | — | 1.50 GB | Download |
| vortex-3b-v2.i1-Q4_1.gguf | GGUF | — | 1.64 GB | Download |
| vortex-3b-v2.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 1.66 GB | Download |
| vortex-3b-v2.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 1.50 GB | Download |
| vortex-3b-v2.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 1.93 GB | Download |
| vortex-3b-v2.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 1.80 GB | Download |
| vortex-3b-v2.i1-Q6_K.gguf | GGUF | Q6_K | 2.12 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "OEvortex/vortex-3b-v2",
"datasets": [
"OEvortex/uncensored-vortex"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md",
"license_name": "hsul",
"quantized_by": "mradermacher",
"tags": [
"HelpingAI",
"vortex"
],
"frontmatter": {
"base_model": "OEvortex/vortex-3b-v2",
"datasets": [
"OEvortex/uncensored-vortex"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md",
"license_name": "hsul",
"quantized_by": "mradermacher",
"tags": [
"HelpingAI",
"vortex"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/OEvortex/vortex-3b-v2 static quants are available at https://huggingface.co/mradermacher/vortex-3b-v2-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: OEvortex/vortex-3b-v2\ndatasets:\n- OEvortex/uncensored-vortex\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nlicense_link: https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md\nlicense_name: hsul\nquantized_by: mradermacher\ntags:\n- HelpingAI\n- vortex\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/OEvortex/vortex-3b-v2\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/vortex-3b-v2-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/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 0.8 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 0.8 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.0 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 1.0 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ2_M.gguf) | i1-IQ2_M | 1.1 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q2_K.gguf) | i1-Q2_K | 1.2 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.3 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ3_S.gguf) | i1-IQ3_S | 1.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.3 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ3_M.gguf) | i1-IQ3_M | 1.5 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.6 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.6 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.7 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.7 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q4_0.gguf) | i1-Q4_0 | 1.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q4_1.gguf) | i1-Q4_1 | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 2.0 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 2.2 | |\n| [GGUF](https://huggingface.co/mradermacher/vortex-3b-v2-i1-GGUF/resolve/main/vortex-3b-v2.i1-Q6_K.gguf) | i1-Q6_K | 2.4 | practically like static Q6_K |\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. 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",
"HelpingAI",
"vortex",
"en",
"dataset:OEvortex/uncensored-vortex",
"base_model:OEvortex/vortex-3b-v2",
"base_model:quantized:OEvortex/vortex-3b-v2",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
],
"likes": 1,
"downloads": 104,
"gated": false,
"private": false,
"last_modified": "2025-01-26T10:06:02.000Z",
"created_at": "2024-12-24T05:35:30.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"sha": "ee24764f9db7a90823f66331dcc9feafb6b92a55",
"createdAt": "2024-12-24T05:35:30.000Z",
"lastModified": "2025-01-26T10:06:02.000Z",
"author": "mradermacher",
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}