dumb-dev/flan-t5-xxl-gguf Q5_0 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
dumb-dev/flan-t5-xxl-gguf overview
This is a quantized version of google/flan-t5-xxl !Google Original Model Architecture
Downloads
636
Likes
18
Pipeline
—
Library
llama.cpp
Visibility
Public
Access
Open
Repository Files & Downloads
19 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| converted-flan-t5-xxl-Q2_K.gguf | GGUF | Q2_K | 3.77 GB | Download |
| converted-flan-t5-xxl-Q3_K.gguf | GGUF | Q3_K | 4.91 GB | Download |
| converted-flan-t5-xxl-Q3_K_L.gguf | GGUF | Q3_K_L | 5.28 GB | Download |
| converted-flan-t5-xxl-Q3_K_M.gguf | GGUF | Q3_K_M | 4.91 GB | Download |
| converted-flan-t5-xxl-Q3_K_S.gguf | GGUF | Q3_K_S | 4.51 GB | Download |
| converted-flan-t5-xxl-Q4_0.gguf | GGUF | — | 5.87 GB | Download |
| converted-flan-t5-xxl-Q4_1.gguf | GGUF | — | 6.51 GB | Download |
| converted-flan-t5-xxl-Q4_K.gguf | GGUF | Q4_K | 6.38 GB | Download |
| converted-flan-t5-xxl-Q4_K_M.gguf | GGUF | Q4_K_M | 6.38 GB | Download |
| converted-flan-t5-xxl-Q4_K_S.gguf | GGUF | Q4_K_S | 5.89 GB | Download |
| converted-flan-t5-xxl-Q5_0.gguf | GGUF | — | 7.15 GB | Download |
| converted-flan-t5-xxl-Q5_1.gguf | GGUF | — | 7.79 GB | Download |
| converted-flan-t5-xxl-Q5_K.gguf | GGUF | Q5_K | 7.41 GB | Download |
| converted-flan-t5-xxl-Q5_K_M.gguf | GGUF | Q5_K_M | 7.41 GB | Download |
| converted-flan-t5-xxl-Q5_K_S.gguf | GGUF | Q5_K_S | 7.15 GB | Download |
| converted-flan-t5-xxl-Q6_K.gguf | GGUF | Q6_K | 8.51 GB | Download |
| converted-flan-t5-xxl-Q8_0.gguf | GGUF | — | 11.02 GB | Download |
| converted-flan-t5-xxl-f16.gguf | GGUF | F16 | 20.74 GB | Download |
| converted-flan-t5-xxl-f32.gguf | GGUF | F32 | 41.48 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"language": [
"de",
"fr",
"en",
"ro"
],
"base_model": [
"google/flan-t5-xxl"
],
"library_name": "llama.cpp",
"tags": [
"llama.cpp"
],
"frontmatter": {
"license": "apache-2.0",
"language": [
"de",
"fr",
"en",
"ro"
],
"base_model": [
"google/flan-t5-xxl"
],
"library_name": "llama.cpp",
"tags": [
"llama.cpp"
]
},
"hero_image_url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan2_architecture.jpg",
"summary": "## This is a quantized version of google/flan-t5-xxl !Google Original Model Architecture",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n- de\n- fr\n- en\n- ro\nbase_model:\n- google/flan-t5-xxl\n\nlibrary_name: llama.cpp\n\ntags:\n- llama.cpp\n\n---\n\n# flan-t5-xxl-gguf \n## This is a quantized version of [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl/)\n\n\n\n\n\n\n## Usage/Examples\n\n```sh\n./llama-cli -m /path/to/file.gguf --prompt \"your prompt\" --n-gpu-layers nn\n```\nnn --> numbers of layers to offload to gpu\n\n## Quants\n\nBITs | TYPE |\n--------|------------- |\nQ2 | Q2_K |\nQ3 | Q3_K, Q3_K_L, Q3_K_M, Q3_K_S | \nQ4 | Q4_0, Q4_1, Q4_K, Q4_K_M, Q4_K_S |\nQ5 | Q5_0, Q5_1, Q5_K, Q5_K_M, Q5_K_S |\nQ6 | Q6_K |\nQ8 | Q8_0 |\n\n#### Additional:\nBITs | TYPE/float |\n--------|------------- |\n16 | f16 |\n32 | f32 | \n\n\n\n## Disclaimer\n I don't claim any rights on this model. All rights go to google.\n## Acknowledgements\n\n - [Original model](https://huggingface.co/google/flan-t5-xxl/)\n - [Original README](https://huggingface.co/google/flan-t5-xxl/blob/main/README.md)\n - [Original license](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)\n\n",
"related_quantizations": []
},
"tags": [
"llama.cpp",
"gguf",
"de",
"fr",
"en",
"ro",
"base_model:google/flan-t5-xxl",
"base_model:quantized:google/flan-t5-xxl",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"likes": 18,
"downloads": 636,
"gated": false,
"private": false,
"last_modified": "2024-10-29T23:21:30.000Z",
"created_at": "2024-10-28T09:01:29.000Z",
"pipeline_tag": "",
"library_name": "llama.cpp"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "671f52e9748faf685e1d0070",
"id": "dumb-dev/flan-t5-xxl-gguf",
"modelId": "dumb-dev/flan-t5-xxl-gguf",
"sha": "f795b14c218fa149b78955bdae0bde710ddf82cf",
"createdAt": "2024-10-28T09:01:29.000Z",
"lastModified": "2024-10-29T23:21:30.000Z",
"author": "dumb-dev",
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"gated": false,
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"pipeline_tag": "",
"library_name": "llama.cpp",
"siblings_count": 21
}