Model Intelligence Sheet
mradermacher/sailor2-1b-sft-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/sail/Sailor2-1B-SFT static quants are available at https://huggingface.co/mradermacher/Sailor2-1B-SFT-GGUF
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226
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0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Sailor2-1B-SFT.i1-IQ1_M.gguf | GGUF | IQ1_M | 535.91 MB | Download |
| Sailor2-1B-SFT.i1-IQ1_S.gguf | GGUF | IQ1_S | 531.82 MB | Download |
| Sailor2-1B-SFT.i1-IQ2_M.gguf | GGUF | IQ2_M | 556.17 MB | Download |
| Sailor2-1B-SFT.i1-IQ2_S.gguf | GGUF | IQ2_S | 550.72 MB | Download |
| Sailor2-1B-SFT.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 548.19 MB | Download |
| Sailor2-1B-SFT.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 542.73 MB | Download |
| Sailor2-1B-SFT.i1-IQ3_M.gguf | GGUF | IQ3_M | 583.17 MB | Download |
| Sailor2-1B-SFT.i1-IQ3_S.gguf | GGUF | IQ3_S | 575.27 MB | Download |
| Sailor2-1B-SFT.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 575.27 MB | Download |
| Sailor2-1B-SFT.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 565.91 MB | Download |
| Sailor2-1B-SFT.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 602.09 MB | Download |
| Sailor2-1B-SFT.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 595.86 MB | Download |
| Sailor2-1B-SFT.i1-Q2_K.gguf | GGUF | Q2_K | 575.27 MB | Download |
| Sailor2-1B-SFT.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 560.85 MB | Download |
| Sailor2-1B-SFT.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 633.92 MB | Download |
| Sailor2-1B-SFT.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 607.93 MB | Download |
| Sailor2-1B-SFT.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 574.61 MB | Download |
| Sailor2-1B-SFT.i1-Q4_0.gguf | GGUF | — | 602.66 MB | Download |
| Sailor2-1B-SFT.i1-Q4_1.gguf | GGUF | — | 651.88 MB | Download |
| Sailor2-1B-SFT.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 704.41 MB | Download |
| Sailor2-1B-SFT.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 680.85 MB | Download |
| Sailor2-1B-SFT.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 755.02 MB | Download |
| Sailor2-1B-SFT.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 740.95 MB | Download |
| Sailor2-1B-SFT.i1-Q6_K.gguf | GGUF | Q6_K | 958.95 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "sail/Sailor2-1B-SFT",
"language": [
"en",
"zh",
"id",
"th",
"vi",
"ms",
"lo",
"my",
"jv",
"km",
"su",
"tl"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"multilingual",
"sea",
"sailor"
],
"frontmatter": {
"base_model": "sail/Sailor2-1B-SFT",
"language": [
"en",
"zh",
"id",
"th",
"vi",
"ms",
"lo",
"my",
"jv",
"km",
"su",
"tl"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"multilingual",
"sea",
"sailor"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/sail/Sailor2-1B-SFT static quants are available at https://huggingface.co/mradermacher/Sailor2-1B-SFT-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: sail/Sailor2-1B-SFT\nlanguage:\n- en\n- zh\n- id\n- th\n- vi\n- ms\n- lo\n- my\n- jv\n- km\n- su\n- tl\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- multilingual\n- sea\n- sailor\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/sail/Sailor2-1B-SFT\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Sailor2-1B-SFT-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/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ1_S.gguf) | i1-IQ1_S | 0.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ1_M.gguf) | i1-IQ1_M | 0.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.7 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ3_S.gguf) | i1-IQ3_S | 0.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q2_K.gguf) | i1-Q2_K | 0.7 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ3_M.gguf) | i1-IQ3_M | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.7 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q4_0.gguf) | i1-Q4_0 | 0.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.7 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.8 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q4_1.gguf) | i1-Q4_1 | 0.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.8 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q5_K_M.gguf) | i1-Q5_K_M | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Sailor2-1B-SFT-i1-GGUF/resolve/main/Sailor2-1B-SFT.i1-Q6_K.gguf) | i1-Q6_K | 1.1 | 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",
"multilingual",
"sea",
"sailor",
"en",
"zh",
"id",
"th",
"vi",
"ms",
"lo",
"my",
"jv",
"km",
"su",
"tl",
"base_model:sail/Sailor2-1B-SFT",
"base_model:quantized:sail/Sailor2-1B-SFT",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 226,
"gated": false,
"private": false,
"last_modified": "2025-02-20T13:27:51.000Z",
"created_at": "2025-02-16T08:12:25.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"createdAt": "2025-02-16T08:12:25.000Z",
"lastModified": "2025-02-20T13:27:51.000Z",
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