mradermacher/cabra-72b-i1-gguf Q2_K_S 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/cabra-72b-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/botbotrobotics/Cabra-72b For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Cabra-72b-GGUF
Downloads
152
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
20 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Cabra-72b.i1-IQ1_M.gguf | GGUF | IQ1_M | 16.36 GB | Download |
| Cabra-72b.i1-IQ1_S.gguf | GGUF | IQ1_S | 15.11 GB | Download |
| Cabra-72b.i1-IQ2_M.gguf | GGUF | IQ2_M | 23.43 GB | Download |
| Cabra-72b.i1-IQ2_S.gguf | GGUF | IQ2_S | 21.77 GB | Download |
| Cabra-72b.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 20.25 GB | Download |
| Cabra-72b.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 18.43 GB | Download |
| Cabra-72b.i1-IQ3_M.gguf | GGUF | IQ3_M | 31.60 GB | Download |
| Cabra-72b.i1-IQ3_S.gguf | GGUF | IQ3_S | 29.39 GB | Download |
| Cabra-72b.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 27.87 GB | Download |
| Cabra-72b.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 25.80 GB | Download |
| Cabra-72b.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 36.11 GB | Download |
| Cabra-72b.i1-Q2_K.gguf | GGUF | Q2_K | 26.50 GB | Download |
| Cabra-72b.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 23.11 GB | Download |
| Cabra-72b.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 35.84 GB | Download |
| Cabra-72b.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 33.46 GB | Download |
| Cabra-72b.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 30.68 GB | Download |
| Cabra-72b.i1-Q4_0.gguf | GGUF | — | 38.30 GB | Download |
| Cabra-72b.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 41.07 GB | Download |
| Cabra-72b.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 39.04 GB | Download |
| Cabra-72b.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 46.45 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "botbotrobotics/Cabra-72b",
"language": [
"pt",
"en"
],
"library_name": "transformers",
"license": "cc-by-nc-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"qwen",
"gguf",
"brazil",
"brasil",
"72bb",
"portuguese"
],
"frontmatter": {
"base_model": "botbotrobotics/Cabra-72b",
"language": [
"pt",
"en"
],
"library_name": "transformers",
"license": "cc-by-nc-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"qwen",
"gguf",
"brazil",
"brasil",
"72bb",
"portuguese"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/botbotrobotics/Cabra-72b ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Cabra-72b-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: botbotrobotics/Cabra-72b\nlanguage:\n- pt\n- en\nlibrary_name: transformers\nlicense: cc-by-nc-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- qwen\n- gguf\n- brazil\n- brasil\n- 72bb\n- portuguese\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/botbotrobotics/Cabra-72b\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#Cabra-72b-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Cabra-72b-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/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ1_S.gguf) | i1-IQ1_S | 16.3 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ1_M.gguf) | i1-IQ1_M | 17.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 19.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 21.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ2_S.gguf) | i1-IQ2_S | 23.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q2_K_S.gguf) | i1-Q2_K_S | 24.9 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ2_M.gguf) | i1-IQ2_M | 25.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q2_K.gguf) | i1-Q2_K | 28.6 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 30.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ3_S.gguf) | i1-IQ3_S | 31.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 33.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ3_M.gguf) | i1-IQ3_M | 34.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 36.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 38.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q4_0.gguf) | i1-Q4_0 | 41.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 42.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 44.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 50.0 | |\n| [PART 1](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 51.4 | |\n| [PART 1](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Cabra-72b-i1-GGUF/resolve/main/Cabra-72b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 59.4 | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation-inference",
"qwen",
"brazil",
"brasil",
"72bb",
"portuguese",
"pt",
"en",
"base_model:botbotrobotics/Cabra-72b",
"base_model:quantized:botbotrobotics/Cabra-72b",
"license:cc-by-nc-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 152,
"gated": false,
"private": false,
"last_modified": "2025-07-17T02:37:25.000Z",
"created_at": "2024-12-14T09:05:27.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"createdAt": "2024-12-14T09:05:27.000Z",
"lastModified": "2025-07-17T02:37:25.000Z",
"author": "mradermacher",
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