mradermacher/big-alice-28b-v1-i1-gguf IQ2_XXS 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/big-alice-28b-v1-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/TheDrummer/Big-Alice-28B-v1 static quants are available at https://huggingface.co/mradermacher/Big-Alice-28B-v1-GGUF
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Pipeline
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Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
23 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Big-Alice-28B-v1.i1-IQ1_M.gguf | GGUF | IQ1_M | 6.53 GB | Download |
| Big-Alice-28B-v1.i1-IQ1_S.gguf | GGUF | IQ1_S | 6.02 GB | Download |
| Big-Alice-28B-v1.i1-IQ2_M.gguf | GGUF | IQ2_M | 9.26 GB | Download |
| Big-Alice-28B-v1.i1-IQ2_S.gguf | GGUF | IQ2_S | 8.57 GB | Download |
| Big-Alice-28B-v1.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 8.15 GB | Download |
| Big-Alice-28B-v1.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 7.40 GB | Download |
| Big-Alice-28B-v1.i1-IQ3_M.gguf | GGUF | IQ3_M | 12.14 GB | Download |
| Big-Alice-28B-v1.i1-IQ3_S.gguf | GGUF | IQ3_S | 11.77 GB | Download |
| Big-Alice-28B-v1.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 11.17 GB | Download |
| Big-Alice-28B-v1.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 10.46 GB | Download |
| Big-Alice-28B-v1.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 14.42 GB | Download |
| Big-Alice-28B-v1.i1-Q2_K.gguf | GGUF | Q2_K | 10.07 GB | Download |
| Big-Alice-28B-v1.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 9.37 GB | Download |
| Big-Alice-28B-v1.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 14.09 GB | Download |
| Big-Alice-28B-v1.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 12.99 GB | Download |
| Big-Alice-28B-v1.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 11.70 GB | Download |
| Big-Alice-28B-v1.i1-Q4_0.gguf | GGUF | — | 15.21 GB | Download |
| Big-Alice-28B-v1.i1-Q4_1.gguf | GGUF | — | 16.78 GB | Download |
| Big-Alice-28B-v1.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 16.10 GB | Download |
| Big-Alice-28B-v1.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 15.26 GB | Download |
| Big-Alice-28B-v1.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 18.90 GB | Download |
| Big-Alice-28B-v1.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 18.41 GB | Download |
| Big-Alice-28B-v1.i1-Q6_K.gguf | GGUF | Q6_K | 21.86 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "TheDrummer/Big-Alice-28B-v1",
"language": [
"en"
],
"library_name": "transformers",
"license": "mit",
"quantized_by": "mradermacher",
"frontmatter": {
"base_model": "TheDrummer/Big-Alice-28B-v1",
"language": [
"en"
],
"library_name": "transformers",
"license": "mit",
"quantized_by": "mradermacher"
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/TheDrummer/Big-Alice-28B-v1 static quants are available at https://huggingface.co/mradermacher/Big-Alice-28B-v1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: TheDrummer/Big-Alice-28B-v1\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nquantized_by: mradermacher\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/TheDrummer/Big-Alice-28B-v1\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Big-Alice-28B-v1-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/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ1_S.gguf) | i1-IQ1_S | 6.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 7.1 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 8.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ2_S.gguf) | i1-IQ2_S | 9.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 10.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 10.2 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q2_K.gguf) | i1-Q2_K | 10.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 12.7 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ3_S.gguf) | i1-IQ3_S | 12.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ3_M.gguf) | i1-IQ3_M | 13.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 15.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 15.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q4_0.gguf) | i1-Q4_0 | 16.4 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 16.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 17.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q4_1.gguf) | i1-Q4_1 | 18.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 19.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 20.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Big-Alice-28B-v1-i1-GGUF/resolve/main/Big-Alice-28B-v1.i1-Q6_K.gguf) | i1-Q6_K | 23.6 | 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",
"en",
"base_model:TheDrummer/Big-Alice-28B-v1",
"base_model:quantized:TheDrummer/Big-Alice-28B-v1",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 179,
"gated": false,
"private": false,
"last_modified": "2025-05-17T02:57:18.000Z",
"created_at": "2025-05-16T21:19:32.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"sha": "509201412ddbc40702468c503ab47ad6664440b5",
"createdAt": "2025-05-16T21:19:32.000Z",
"lastModified": "2025-05-17T02:57:18.000Z",
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