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mradermacher/aegolius-acadicus-v1-30b-i1-gguf Q4_K_S 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/aegolius-acadicus-v1-30b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/ibivibiv/aegolius-acadicus-v1-30b static quants are available at https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-GGUF

transformersggufmoemoergeenbase_model:ibivibiv/aegolius-acadicus-v1-30bbase_model:quantized:ibivibiv/aegolius-acadicus-v1-30blicense:llama2endpoints_compatibleregion:us
mradermacher/aegolius-acadicus-v1-30b-i1-gguf visual
Downloads
141
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

21 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
aegolius-acadicus-v1-30b.i1-IQ1_M.gguf GGUF IQ1_M 6.33 GB Download
aegolius-acadicus-v1-30b.i1-IQ1_S.gguf GGUF IQ1_S 5.72 GB Download
aegolius-acadicus-v1-30b.i1-IQ2_M.gguf GGUF IQ2_M 9.15 GB Download
aegolius-acadicus-v1-30b.i1-IQ2_S.gguf GGUF IQ2_S 8.35 GB Download
aegolius-acadicus-v1-30b.i1-IQ2_XS.gguf GGUF IQ2_XS 8.15 GB Download
aegolius-acadicus-v1-30b.i1-IQ2_XXS.gguf GGUF IQ2_XXS 7.33 GB Download
aegolius-acadicus-v1-30b.i1-IQ3_M.gguf GGUF IQ3_M 12.20 GB Download
aegolius-acadicus-v1-30b.i1-IQ3_S.gguf GGUF IQ3_S 11.99 GB Download
aegolius-acadicus-v1-30b.i1-IQ3_XS.gguf GGUF IQ3_XS 11.35 GB Download
aegolius-acadicus-v1-30b.i1-IQ3_XXS.gguf GGUF IQ3_XXS 10.67 GB Download
aegolius-acadicus-v1-30b.i1-IQ4_XS.gguf GGUF IQ4_XS 14.80 GB Download
aegolius-acadicus-v1-30b.i1-Q2_K.gguf GGUF Q2_K 10.14 GB Download
aegolius-acadicus-v1-30b.i1-Q3_K_L.gguf GGUF Q3_K_L 14.39 GB Download
aegolius-acadicus-v1-30b.i1-Q3_K_M.gguf GGUF Q3_K_M 13.29 GB Download
aegolius-acadicus-v1-30b.i1-Q3_K_S.gguf GGUF Q3_K_S 11.97 GB Download
aegolius-acadicus-v1-30b.i1-Q4_0.gguf GGUF 15.71 GB Download
aegolius-acadicus-v1-30b.i1-Q4_K_M.gguf GGUF Q4_K_M 16.79 GB Download
aegolius-acadicus-v1-30b.i1-Q4_K_S.gguf GGUF Q4_K_S 15.78 GB Download
aegolius-acadicus-v1-30b.i1-Q5_K_M.gguf GGUF Q5_K_M 19.68 GB Download
aegolius-acadicus-v1-30b.i1-Q5_K_S.gguf GGUF Q5_K_S 19.09 GB Download
aegolius-acadicus-v1-30b.i1-Q6_K.gguf GGUF Q6_K 22.76 GB Download

Model Details Live

Model Slug
mradermacher/aegolius-acadicus-v1-30b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-04-14
Last Modified
2024-05-06
Gated
No
Private
No
HF SHA
278c6a86c02c8dc3887ebff656d318ab37aa9723
License
llama2
Language
en
Base Model
ibivibiv/aegolius-acadicus-v1-30b

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "ibivibiv/aegolius-acadicus-v1-30b",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "llama2",
    "quantized_by": "mradermacher",
    "tags": [
      "moe",
      "moerge"
    ],
    "frontmatter": {
      "base_model": "ibivibiv/aegolius-acadicus-v1-30b",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "llama2",
      "quantized_by": "mradermacher",
      "tags": [
        "moe",
        "moerge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About     weighted/imatrix quants of https://huggingface.co/ibivibiv/aegolius-acadicus-v1-30b  static quants are available at https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ibivibiv/aegolius-acadicus-v1-30b\nlanguage:\n- en\nlibrary_name: transformers\nlicense: llama2\nquantized_by: mradermacher\ntags:\n- moe\n- moerge\n---\n## About\n\n<!-- ### quantize_version: 1 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type:  -->\n<!-- ### vocab_type:  -->\nweighted/imatrix quants of https://huggingface.co/ibivibiv/aegolius-acadicus-v1-30b\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-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/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ1_S.gguf) | i1-IQ1_S | 6.2 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ1_M.gguf) | i1-IQ1_M | 6.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 8.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ2_S.gguf) | i1-IQ2_S | 9.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ2_M.gguf) | i1-IQ2_M | 9.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q2_K.gguf) | i1-Q2_K | 11.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 13.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ3_S.gguf) | i1-IQ3_S | 13.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ3_M.gguf) | i1-IQ3_M | 13.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 15.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 16.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q4_0.gguf) | i1-Q4_0 | 17.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 17.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 18.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 20.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 21.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aegolius-acadicus-v1-30b-i1-GGUF/resolve/main/aegolius-acadicus-v1-30b.i1-Q6_K.gguf) | i1-Q6_K | 24.5 | 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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "moe",
    "moerge",
    "en",
    "base_model:ibivibiv/aegolius-acadicus-v1-30b",
    "base_model:quantized:ibivibiv/aegolius-acadicus-v1-30b",
    "license:llama2",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 141,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-06T04:55:38.000Z",
  "created_at": "2024-04-14T18:47:07.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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