Model Intelligence Sheet
richarderkhov/sakaltcommunity_-_slerpqwen-0003-gguf overview
This is a merge of pre-trained language models created using mergekit.
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Pipeline
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Library
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Visibility
Public
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Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| slerpQwen-0003.IQ3_M.gguf | GGUF | IQ3_M | 3.33 GB | Download |
| slerpQwen-0003.IQ3_S.gguf | GGUF | IQ3_S | 432.05 MB | Download |
| slerpQwen-0003.IQ3_XS.gguf | GGUF | IQ3_XS | 3.12 GB | Download |
| slerpQwen-0003.IQ4_NL.gguf | GGUF | IQ4_NL | 4.16 GB | Download |
| slerpQwen-0003.IQ4_XS.gguf | GGUF | IQ4_XS | 3.96 GB | Download |
| slerpQwen-0003.Q2_K.gguf | GGUF | Q2_K | 2.81 GB | Download |
| slerpQwen-0003.Q3_K.gguf | GGUF | Q3_K | 3.55 GB | Download |
| slerpQwen-0003.Q3_K_L.gguf | GGUF | Q3_K_L | 3.81 GB | Download |
| slerpQwen-0003.Q3_K_M.gguf | GGUF | Q3_K_M | 3.55 GB | Download |
| slerpQwen-0003.Q3_K_S.gguf | GGUF | Q3_K_S | 3.25 GB | Download |
| slerpQwen-0003.Q4_0.gguf | GGUF | — | 4.13 GB | Download |
| slerpQwen-0003.Q4_1.gguf | GGUF | — | 4.54 GB | Download |
| slerpQwen-0003.Q4_K.gguf | GGUF | Q4_K | 4.36 GB | Download |
| slerpQwen-0003.Q4_K_M.gguf | GGUF | Q4_K_M | 4.36 GB | Download |
| slerpQwen-0003.Q4_K_S.gguf | GGUF | Q4_K_S | 4.15 GB | Download |
| slerpQwen-0003.Q5_0.gguf | GGUF | — | 4.95 GB | Download |
| slerpQwen-0003.Q5_1.gguf | GGUF | — | 5.36 GB | Download |
| slerpQwen-0003.Q5_K.gguf | GGUF | Q5_K | 5.07 GB | Download |
| slerpQwen-0003.Q5_K_M.gguf | GGUF | Q5_K_M | 5.07 GB | Download |
| slerpQwen-0003.Q5_K_S.gguf | GGUF | Q5_K_S | 4.95 GB | Download |
| slerpQwen-0003.Q6_K.gguf | GGUF | Q6_K | 5.82 GB | Download |
| slerpQwen-0003.Q8_0.gguf | GGUF | — | 7.54 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "This is a merge of pre-trained language models created using mergekit.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nslerpQwen-0003 - GGUF\n- Model creator: https://huggingface.co/sakaltcommunity/\n- Original model: https://huggingface.co/sakaltcommunity/slerpQwen-0003/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [slerpQwen-0003.Q2_K.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q2_K.gguf) | Q2_K | 2.81GB |\n| [slerpQwen-0003.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.IQ3_XS.gguf) | IQ3_XS | 3.12GB |\n| [slerpQwen-0003.IQ3_S.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.IQ3_S.gguf) | IQ3_S | 0.42GB |\n| [slerpQwen-0003.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q3_K_S.gguf) | Q3_K_S | 3.25GB |\n| [slerpQwen-0003.IQ3_M.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.IQ3_M.gguf) | IQ3_M | 3.33GB |\n| [slerpQwen-0003.Q3_K.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q3_K.gguf) | Q3_K | 3.55GB |\n| [slerpQwen-0003.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q3_K_M.gguf) | Q3_K_M | 3.55GB |\n| [slerpQwen-0003.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q3_K_L.gguf) | Q3_K_L | 3.81GB |\n| [slerpQwen-0003.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.IQ4_XS.gguf) | IQ4_XS | 3.96GB |\n| [slerpQwen-0003.Q4_0.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q4_0.gguf) | Q4_0 | 4.13GB |\n| [slerpQwen-0003.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.IQ4_NL.gguf) | IQ4_NL | 4.16GB |\n| [slerpQwen-0003.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q4_K_S.gguf) | Q4_K_S | 4.15GB |\n| [slerpQwen-0003.Q4_K.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q4_K.gguf) | Q4_K | 4.36GB |\n| [slerpQwen-0003.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q4_K_M.gguf) | Q4_K_M | 4.36GB |\n| [slerpQwen-0003.Q4_1.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q4_1.gguf) | Q4_1 | 4.54GB |\n| [slerpQwen-0003.Q5_0.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q5_0.gguf) | Q5_0 | 4.95GB |\n| [slerpQwen-0003.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q5_K_S.gguf) | Q5_K_S | 4.95GB |\n| [slerpQwen-0003.Q5_K.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q5_K.gguf) | Q5_K | 5.07GB |\n| [slerpQwen-0003.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q5_K_M.gguf) | Q5_K_M | 5.07GB |\n| [slerpQwen-0003.Q5_1.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q5_1.gguf) | Q5_1 | 5.36GB |\n| [slerpQwen-0003.Q6_K.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q6_K.gguf) | Q6_K | 5.82GB |\n| [slerpQwen-0003.Q8_0.gguf](https://huggingface.co/RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf/blob/main/slerpQwen-0003.Q8_0.gguf) | Q8_0 | 7.54GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Sakalti/Saba1-7B\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# merge\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the SLERP merge method.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Sakalti/Saba1-7B](https://huggingface.co/Sakalti/Saba1-7B)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nslices:\n - sources:\n - model: Sakalti/Saba1-7B\n layer_range: [0, 28]\nmerge_method: slerp\nbase_model: Sakalti/Saba1-7B\nparameters:\n t:\n - value: 0.4\ndtype: float16\n```\n\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 314,
"gated": false,
"private": false,
"last_modified": "2025-05-13T15:25:29.000Z",
"created_at": "2025-05-13T15:01:17.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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"id": "RichardErkhov/sakaltcommunity_-_slerpQwen-0003-gguf",
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"sha": "bdfc69bec0fac462628b063da5ab25bd6b9bf9d6",
"createdAt": "2025-05-13T15:01:17.000Z",
"lastModified": "2025-05-13T15:25:29.000Z",
"author": "RichardErkhov",
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}