GraySoft
Projects Models About FAQ Contact Download guIDE →
Model Intelligence Sheet

mradermacher/rhea-72b-v0.5-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/davidkim205/Rhea-72b-v0.5 the imatrix was calculated on a reduced 40k token set (the "quarter" set) as the full token set caused overflows in the model (likely a model bug) static quants are available at https://huggingface.co/mradermacher/Rhea-72b-v0.5-GGUF

transformersggufenbase_model:davidkim205/Rhea-72b-v0.5base_model:quantized:davidkim205/Rhea-72b-v0.5license:apache-2.0endpoints_compatibleregion:us
mradermacher/rhea-72b-v0.5-i1-gguf visual
Downloads
85
Likes
4
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

19 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Rhea-72b-v0.5.i1-IQ1_M.gguf GGUF IQ1_M 20.21 GB Download
Rhea-72b-v0.5.i1-IQ1_S.gguf GGUF IQ1_S 18.96 GB Download
Rhea-72b-v0.5.i1-IQ2_M.gguf GGUF IQ2_M 27.28 GB Download
Rhea-72b-v0.5.i1-IQ2_S.gguf GGUF IQ2_S 25.62 GB Download
Rhea-72b-v0.5.i1-IQ2_XS.gguf GGUF IQ2_XS 24.10 GB Download
Rhea-72b-v0.5.i1-IQ2_XXS.gguf GGUF IQ2_XXS 22.28 GB Download
Rhea-72b-v0.5.i1-IQ3_M.gguf GGUF IQ3_M 34.67 GB Download
Rhea-72b-v0.5.i1-IQ3_S.gguf GGUF IQ3_S 33.09 GB Download
Rhea-72b-v0.5.i1-IQ3_XS.gguf GGUF IQ3_XS 31.57 GB Download
Rhea-72b-v0.5.i1-IQ3_XXS.gguf GGUF IQ3_XXS 29.65 GB Download
Rhea-72b-v0.5.i1-IQ4_NL.gguf GGUF IQ4_NL 41.88 GB Download
Rhea-72b-v0.5.i1-IQ4_XS.gguf GGUF IQ4_XS 39.81 GB Download
Rhea-72b-v0.5.i1-Q2_K.gguf GGUF Q2_K 28.91 GB Download
Rhea-72b-v0.5.i1-Q3_K_L.gguf GGUF Q3_K_L 39.53 GB Download
Rhea-72b-v0.5.i1-Q3_K_M.gguf GGUF Q3_K_M 36.54 GB Download
Rhea-72b-v0.5.i1-Q3_K_S.gguf GGUF Q3_K_S 33.09 GB Download
Rhea-72b-v0.5.i1-Q4_0.gguf GGUF 41.99 GB Download
Rhea-72b-v0.5.i1-Q4_K_M.gguf GGUF Q4_K_M 44.45 GB Download
Rhea-72b-v0.5.i1-Q4_K_S.gguf GGUF Q4_K_S 42.14 GB Download

Model Details Live

Model Slug
mradermacher/rhea-72b-v0.5-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-03-30
Last Modified
2024-05-06
Gated
No
Private
No
HF SHA
bf6fb4f26c4a79760104da9d9588f77e1a31eb24
License
apache-2.0
Language
en
Base Model
davidkim205/Rhea-72b-v0.5

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "davidkim205/Rhea-72b-v0.5",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "davidkim205/Rhea-72b-v0.5",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About weighted/imatrix quants of https://huggingface.co/davidkim205/Rhea-72b-v0.5 **the imatrix was calculated on a reduced 40k token set (the \"quarter\" set) as the full token set caused overflows in the model (likely a model bug)**  static quants are available at https://huggingface.co/mradermacher/Rhea-72b-v0.5-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: davidkim205/Rhea-72b-v0.5\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\n---\n## About\n\nweighted/imatrix quants of https://huggingface.co/davidkim205/Rhea-72b-v0.5\n\n**the imatrix was calculated on a reduced 40k token set (the \"quarter\" set) as the full token set caused overflows in the model (likely a model bug)**\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Rhea-72b-v0.5-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/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ1_S.gguf) | i1-IQ1_S | 20.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ1_M.gguf) | i1-IQ1_M | 21.8 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 24.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ2_XS.gguf) | i1-IQ2_XS | 26.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ2_S.gguf) | i1-IQ2_S | 27.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ2_M.gguf) | i1-IQ2_M | 29.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q2_K.gguf) | i1-Q2_K | 31.1 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 31.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ3_XS.gguf) | i1-IQ3_XS | 34.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ3_S.gguf) | i1-IQ3_S | 35.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q3_K_S.gguf) | i1-Q3_K_S | 35.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ3_M.gguf) | i1-IQ3_M | 37.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q3_K_M.gguf) | i1-Q3_K_M | 39.3 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q3_K_L.gguf) | i1-Q3_K_L | 42.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ4_XS.gguf) | i1-IQ4_XS | 42.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-IQ4_NL.gguf) | i1-IQ4_NL | 45.1 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q4_0.gguf) | i1-Q4_0 | 45.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q4_K_S.gguf) | i1-Q4_K_S | 45.3 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q4_K_M.gguf) | i1-Q4_K_M | 47.8 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 53.9 |  |\n| [PART 1](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 55.4 |  |\n| [PART 1](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Rhea-72b-v0.5-i1-GGUF/resolve/main/Rhea-72b-v0.5.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 63.4 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![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",
    "en",
    "base_model:davidkim205/Rhea-72b-v0.5",
    "base_model:quantized:davidkim205/Rhea-72b-v0.5",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 4,
  "downloads": 85,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-06T05:33:16.000Z",
  "created_at": "2024-03-30T13:33:40.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "660814b4f5b6f08ccf4c1dfe",
  "id": "mradermacher/Rhea-72b-v0.5-i1-GGUF",
  "modelId": "mradermacher/Rhea-72b-v0.5-i1-GGUF",
  "sha": "bf6fb4f26c4a79760104da9d9588f77e1a31eb24",
  "createdAt": "2024-03-30T13:33:40.000Z",
  "lastModified": "2024-05-06T05:33:16.000Z",
  "author": "mradermacher",
  "downloads": 85,
  "likes": 4,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 28
}