mradermacher/bigorca-2-xb-gguf Q5_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/bigorca-2-xb-gguf overview
About static quants of https://huggingface.co/Joseph717171/BigOrca-2-XB 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
90
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| BigOrca-2-XB.IQ3_M.gguf | GGUF | IQ3_M | 9.78 GB | Download |
| BigOrca-2-XB.IQ3_S.gguf | GGUF | IQ3_S | 9.26 GB | Download |
| BigOrca-2-XB.IQ3_XS.gguf | GGUF | IQ3_XS | 8.77 GB | Download |
| BigOrca-2-XB.IQ4_XS.gguf | GGUF | IQ4_XS | 11.46 GB | Download |
| BigOrca-2-XB.Q2_K.gguf | GGUF | Q2_K | 7.96 GB | Download |
| BigOrca-2-XB.Q3_K_L.gguf | GGUF | Q3_K_L | 11.33 GB | Download |
| BigOrca-2-XB.Q3_K_M.gguf | GGUF | Q3_K_M | 10.37 GB | Download |
| BigOrca-2-XB.Q3_K_S.gguf | GGUF | Q3_K_S | 9.26 GB | Download |
| BigOrca-2-XB.Q4_K_M.gguf | GGUF | Q4_K_M | 12.82 GB | Download |
| BigOrca-2-XB.Q4_K_S.gguf | GGUF | Q4_K_S | 12.10 GB | Download |
| BigOrca-2-XB.Q5_K_M.gguf | GGUF | Q5_K_M | 15.04 GB | Download |
| BigOrca-2-XB.Q5_K_S.gguf | GGUF | Q5_K_S | 14.63 GB | Download |
| BigOrca-2-XB.Q6_K.gguf | GGUF | Q6_K | 17.40 GB | Download |
| BigOrca-2-XB.Q8_0.gguf | GGUF | — | 22.44 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Joseph717171/BigOrca-2-XB",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "microsoft-research-license",
"quantized_by": "mradermacher",
"tags": [
"mergekit",
"merge",
"orca",
"orca2",
"microsoft"
],
"frontmatter": {
"base_model": "Joseph717171/BigOrca-2-XB",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "microsoft-research-license",
"quantized_by": "mradermacher",
"tags": [
"mergekit",
"merge",
"orca",
"orca2",
"microsoft"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Joseph717171/BigOrca-2-XB 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: Joseph717171/BigOrca-2-XB\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nlicense_link: LICENSE\nlicense_name: microsoft-research-license\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n- orca\n- orca2\n- microsoft\n---\n## About\n\nstatic quants of https://huggingface.co/Joseph717171/BigOrca-2-XB\n\n<!-- provided-files -->\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/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q2_K.gguf) | Q2_K | 8.6 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.IQ3_XS.gguf) | IQ3_XS | 9.5 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.IQ3_S.gguf) | IQ3_S | 10.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q3_K_S.gguf) | Q3_K_S | 10.0 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.IQ3_M.gguf) | IQ3_M | 10.6 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q3_K_M.gguf) | Q3_K_M | 11.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q3_K_L.gguf) | Q3_K_L | 12.3 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.IQ4_XS.gguf) | IQ4_XS | 12.4 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q4_K_S.gguf) | Q4_K_S | 13.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q4_K_M.gguf) | Q4_K_M | 13.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q5_K_S.gguf) | Q5_K_S | 15.8 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q5_K_M.gguf) | Q5_K_M | 16.2 | |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q6_K.gguf) | Q6_K | 18.8 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/BigOrca-2-XB-GGUF/resolve/main/BigOrca-2-XB.Q8_0.gguf) | Q8_0 | 24.2 | fast, best quality |\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",
"mergekit",
"merge",
"orca",
"orca2",
"microsoft",
"en",
"base_model:Joseph717171/BigOrca-2-XB",
"base_model:quantized:Joseph717171/BigOrca-2-XB",
"license:other",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 90,
"gated": false,
"private": false,
"last_modified": "2024-05-06T06:11:34.000Z",
"created_at": "2024-03-17T00:02:48.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "65f633281d7d373a9ad42528",
"id": "mradermacher/BigOrca-2-XB-GGUF",
"modelId": "mradermacher/BigOrca-2-XB-GGUF",
"sha": "9d9664d01dc7b9d65b4c9e6155a3b283cbc72b73",
"createdAt": "2024-03-17T00:02:48.000Z",
"lastModified": "2024-05-06T06:11:34.000Z",
"author": "mradermacher",
"downloads": 90,
"likes": 1,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 16
}