enlistedghost/tigerlily-r3-gguf F32 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
enlistedghost/tigerlily-r3-gguf overview
Comprehensive model page for enlistedghost/tigerlily-r3-gguf
Downloads
889
Likes
0
Pipeline
image-text-to-text
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Tigerlily-R3-BF16.gguf | GGUF | BF16 | 21.92 GB | Download |
| Tigerlily-R3-Q2_K.gguf | GGUF | Q2_K | 4.32 GB | Download |
| Tigerlily-R3-Q2_K_L.gguf | GGUF | Q2_K_L | 4.67 GB | Download |
| Tigerlily-R3-Q2_K_M.gguf | GGUF | Q2_K_M | 4.44 GB | Download |
| Tigerlily-R3-Q2_K_S.gguf | GGUF | Q2_K_S | 4.20 GB | Download |
| Tigerlily-R3-Q3_K_L.gguf | GGUF | Q3_K_L | 5.82 GB | Download |
| Tigerlily-R3-Q3_K_M.gguf | GGUF | Q3_K_M | 5.31 GB | Download |
| Tigerlily-R3-Q3_K_S.gguf | GGUF | Q3_K_S | 4.96 GB | Download |
| Tigerlily-R3-Q3_K_XL.gguf | GGUF | Q3_K_XL | 7.14 GB | Download |
| Tigerlily-R3-Q4_K_M.gguf | GGUF | Q4_K_M | 6.46 GB | Download |
| Tigerlily-R3-Q4_K_S.gguf | GGUF | Q4_K_S | 6.22 GB | Download |
| Tigerlily-R3-Q4_K_XL.gguf | GGUF | Q4_K_XL | 7.03 GB | Download |
| Tigerlily-R3-Q5_K_M.gguf | GGUF | Q5_K_M | 7.89 GB | Download |
| Tigerlily-R3-Q5_K_S.gguf | GGUF | Q5_K_S | 7.54 GB | Download |
| Tigerlily-R3-Q5_K_XL.gguf | GGUF | Q5_K_XL | 8.09 GB | Download |
| Tigerlily-R3-Q6_K.gguf | GGUF | Q6_K | 9.00 GB | Download |
| Tigerlily-R3-Q6_K_L.gguf | GGUF | Q6_K_L | 9.22 GB | Download |
| Tigerlily-R3-Q6_K_XL.gguf | GGUF | Q6_K_XL | 10.10 GB | Download |
| Tigerlily-R3-Q8_0.gguf | GGUF | — | 11.65 GB | Download |
| mmproj-Tigerlily-R3-F16.gguf | GGUF | F16 | 814.63 MB | Download |
| mmproj-Tigerlily-R3-F32.gguf | GGUF | F32 | 1.56 GB | Download |
| mmproj-Tigerlily-R3-Q8_0.gguf | GGUF | — | 566.79 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"language": [
"en"
],
"base_model": [
"cathuriges/tigerlily-r3"
],
"quantized_by": "EnlistedGhost",
"base_model_relation": "quantized",
"new_version": "EnlistedGhost/Tigerlily-R3-GGUF",
"pipeline_tag": "image-text-to-text",
"tags": [
"Image-Text-to-Text",
"Multimodal",
"Conversational",
"12B",
"Vision",
"Tigerlily-R3",
"GGUF",
"GGML",
"Ollama",
"Quantized",
"Quant",
"Inflatebot",
"Llama.cpp"
],
"frontmatter": {
"language": [
"en"
],
"base_model": [
"cathuriges/tigerlily-r3"
],
"quantized_by": "EnlistedGhost",
"base_model_relation": "quantized",
"new_version": "EnlistedGhost/Tigerlily-R3-GGUF",
"pipeline_tag": "image-text-to-text",
"tags": [
"Image-Text-to-Text",
"Multimodal",
"Conversational",
"12B",
"Vision",
"Tigerlily-R3",
"GGUF",
"GGML",
"Ollama",
"Quantized",
"Quant",
"Inflatebot",
"Llama.cpp"
]
},
"hero_image_url": "",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlanguage:\n- en\nbase_model:\n- cathuriges/tigerlily-r3\nquantized_by: EnlistedGhost\nbase_model_relation: quantized\nnew_version: EnlistedGhost/Tigerlily-R3-GGUF\npipeline_tag: image-text-to-text\ntags:\n- Image-Text-to-Text\n- Multimodal\n- Conversational\n- 12B\n- Vision\n- Tigerlily-R3\n- GGUF\n- GGML\n- Ollama\n- Quantized\n- Quant\n- Inflatebot\n- Llama.cpp\n---\n\n## Model Details and Specifications:\n\n**This release contains:** <br />\nLlama.cpp and Ollama compatible GGUF converted and Quantized model files \n*(Compatible with both Ollama, and Llama.cpp)* <br />\n*(More information and an updates to the ModelCard (this page) coming soon!)*\n\n**Quantized GGUF version of:**\n- jcathuriges/tigerlily-r3 <br /> *(by inflatebot)*\n\n**Original Model Link:**\n- [[cathuriges/tigerlily-r3](https://huggingface.co/cathuriges/tigerlily-r3)]\n\n----------------------------------------------\n\n## GGUF Conversion and Quantization Details:\n\n**Software used to convert Safetensors to GGUF:**\n- <a href=\"https://github.com/ggml-org/llama.cpp/\">llama.cpp</a>\n\n**Software used to create Quantized GGUF Files:**\n- <a href=\"https://github.com/ggml-org/llama.cpp/\">llama.cpp</a> \n\n**Specific GitHub Commit Point:**\n- <a href=\"https://github.com/ggml-org/llama.cpp/commit/3fe36c32389ade876ec505f32df08f5121cf597f\">b7099</a>\n\n**Converted to GGUF and Quantized by:**\n- [EnlistedGhost](https://huggingface.co/EnlistedGhost)\n\n----------------------------------------------\n## Original Info \n*(Crossposted from the link in the above section: \"Model Details\"):*\n\ntigerlily-r3 \n\nThis is a merge of pre-trained language models created using mergekit.\n\n**- Merge Details -** <br />\nBumped Tiger up a skosh from (unpublished) R2. Mix seems good now. Project continues.\nMerge Method\nThis model was merged using the Task Arithmetic merge method using grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated as a base.\nModels Merged\nThe following models were included in the merge:\n\n tame-tiger\n withered-calla",
"related_quantizations": []
},
"tags": [
"gguf",
"Image-Text-to-Text",
"Multimodal",
"Conversational",
"12B",
"Vision",
"Tigerlily-R3",
"GGUF",
"GGML",
"Ollama",
"Quantized",
"Quant",
"Inflatebot",
"Llama.cpp",
"image-text-to-text",
"en",
"base_model:cathuriges/tigerlily-r3",
"base_model:quantized:cathuriges/tigerlily-r3",
"endpoints_compatible",
"region:us"
],
"likes": 0,
"downloads": 889,
"gated": false,
"private": false,
"last_modified": "2025-11-20T10:41:10.000Z",
"created_at": "2025-11-19T12:58:06.000Z",
"pipeline_tag": "image-text-to-text",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "691dbededc3d80b4d74894e8",
"id": "EnlistedGhost/Tigerlily-R3-GGUF",
"modelId": "EnlistedGhost/Tigerlily-R3-GGUF",
"sha": "04b449b791985d07ed2b053e9d63aaaf6d8af5c6",
"createdAt": "2025-11-19T12:58:06.000Z",
"lastModified": "2025-11-20T10:41:10.000Z",
"author": "EnlistedGhost",
"downloads": 889,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "image-text-to-text",
"library_name": "",
"siblings_count": 24
}