mradermacher/cardiollama.nl-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/cardiollama.nl-gguf overview
About static quants of https://huggingface.co/UMCU/CardioLlama.nl For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
125
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| CardioLlama.nl.IQ4_XS.gguf | GGUF | IQ4_XS | 846.79 MB | Download |
| CardioLlama.nl.Q2_K.gguf | GGUF | Q2_K | 636.16 MB | Download |
| CardioLlama.nl.Q3_K_L.gguf | GGUF | Q3_K_L | 806.23 MB | Download |
| CardioLlama.nl.Q3_K_M.gguf | GGUF | Q3_K_M | 766.48 MB | Download |
| CardioLlama.nl.Q3_K_S.gguf | GGUF | Q3_K_S | 719.60 MB | Download |
| CardioLlama.nl.Q4_K_M.gguf | GGUF | Q4_K_M | 911.18 MB | Download |
| CardioLlama.nl.Q4_K_S.gguf | GGUF | Q4_K_S | 880.62 MB | Download |
| CardioLlama.nl.Q5_K_M.gguf | GGUF | Q5_K_M | 1.02 GB | Download |
| CardioLlama.nl.Q5_K_S.gguf | GGUF | Q5_K_S | 1023.43 MB | Download |
| CardioLlama.nl.Q6_K.gguf | GGUF | Q6_K | 1.15 GB | Download |
| CardioLlama.nl.Q8_0.gguf | GGUF | — | 1.49 GB | Download |
| CardioLlama.nl.f16.gguf | GGUF | F16 | 2.80 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "UMCU/CardioLlama.nl",
"datasets": [
"UMCU/DutchMedicalText"
],
"language": [
"nl"
],
"library_name": "transformers",
"license": "llama3.2",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"medical",
"cardiology"
],
"frontmatter": {
"base_model": "UMCU/CardioLlama.nl",
"datasets": [
"UMCU/DutchMedicalText"
],
"language": [
"nl"
],
"library_name": "transformers",
"license": "llama3.2",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"medical",
"cardiology"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/UMCU/CardioLlama.nl ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: UMCU/CardioLlama.nl\ndatasets:\n- UMCU/DutchMedicalText\nlanguage:\n- nl\nlibrary_name: transformers\nlicense: llama3.2\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- medical\n- cardiology\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/UMCU/CardioLlama.nl\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CardioLlama.nl-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q2_K.gguf) | Q2_K | 0.8 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q3_K_S.gguf) | Q3_K_S | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q3_K_L.gguf) | Q3_K_L | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.IQ4_XS.gguf) | IQ4_XS | 1.0 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q5_K_S.gguf) | Q5_K_S | 1.2 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q5_K_M.gguf) | Q5_K_M | 1.2 | |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q6_K.gguf) | Q6_K | 1.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/CardioLlama.nl-GGUF/resolve/main/CardioLlama.nl.f16.gguf) | f16 | 3.1 | 16 bpw, overkill |\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": []
},
"tags": [
"transformers",
"gguf",
"medical",
"cardiology",
"nl",
"dataset:UMCU/DutchMedicalText",
"base_model:UMCU/CardioLlama.nl",
"base_model:quantized:UMCU/CardioLlama.nl",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 125,
"gated": false,
"private": false,
"last_modified": "2025-09-02T00:10:11.000Z",
"created_at": "2025-09-02T00:02:04.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68b633fc1052d459e090abb2",
"id": "mradermacher/CardioLlama.nl-GGUF",
"modelId": "mradermacher/CardioLlama.nl-GGUF",
"sha": "9933541b5079b807647d4a22b6d83e8ba7e45c18",
"createdAt": "2025-09-02T00:02:04.000Z",
"lastModified": "2025-09-02T00:10:11.000Z",
"author": "mradermacher",
"downloads": 125,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 14
}