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
Downloads
85
Likes
4
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
19 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| 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
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"
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"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher"
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"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\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": []
},
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"license:apache-2.0",
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"last_modified": "2024-05-06T05:33:16.000Z",
"created_at": "2024-03-30T13:33:40.000Z",
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Source payload excerpt (from Hugging Face API)
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