Model Intelligence Sheet
richarderkhov/msl7_-_inex12-7b-gguf overview
INEX12-7b is a merge of the following models using mergekit: liminerity/merge2 yam-peleg/Experiment26-7B
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Visibility
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Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| INEX12-7b.IQ3_M.gguf | GGUF | IQ3_M | 3.06 GB | Download |
| INEX12-7b.IQ3_S.gguf | GGUF | IQ3_S | 2.96 GB | Download |
| INEX12-7b.IQ3_XS.gguf | GGUF | IQ3_XS | 2.81 GB | Download |
| INEX12-7b.IQ4_NL.gguf | GGUF | IQ4_NL | 3.87 GB | Download |
| INEX12-7b.IQ4_XS.gguf | GGUF | IQ4_XS | 3.67 GB | Download |
| INEX12-7b.Q2_K.gguf | GGUF | Q2_K | 2.53 GB | Download |
| INEX12-7b.Q3_K.gguf | GGUF | Q3_K | 3.28 GB | Download |
| INEX12-7b.Q3_K_L.gguf | GGUF | Q3_K_L | 3.56 GB | Download |
| INEX12-7b.Q3_K_M.gguf | GGUF | Q3_K_M | 3.28 GB | Download |
| INEX12-7b.Q3_K_S.gguf | GGUF | Q3_K_S | 2.95 GB | Download |
| INEX12-7b.Q4_0.gguf | GGUF | — | 3.83 GB | Download |
| INEX12-7b.Q4_1.gguf | GGUF | — | 4.24 GB | Download |
| INEX12-7b.Q4_K.gguf | GGUF | Q4_K | 4.07 GB | Download |
| INEX12-7b.Q4_K_M.gguf | GGUF | Q4_K_M | 4.07 GB | Download |
| INEX12-7b.Q4_K_S.gguf | GGUF | Q4_K_S | 3.86 GB | Download |
| INEX12-7b.Q5_0.gguf | GGUF | — | 4.65 GB | Download |
| INEX12-7b.Q5_1.gguf | GGUF | — | 5.07 GB | Download |
| INEX12-7b.Q5_K.gguf | GGUF | Q5_K | 4.78 GB | Download |
| INEX12-7b.Q5_K_M.gguf | GGUF | Q5_K_M | 4.78 GB | Download |
| INEX12-7b.Q5_K_S.gguf | GGUF | Q5_K_S | 4.65 GB | Download |
| INEX12-7b.Q6_K.gguf | GGUF | Q6_K | 5.53 GB | Download |
| INEX12-7b.Q8_0.gguf | GGUF | — | 7.17 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "INEX12-7b is a merge of the following models using mergekit: * liminerity/merge2 * yam-peleg/Experiment26-7B",
"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\nINEX12-7b - GGUF\n- Model creator: https://huggingface.co/MSL7/\n- Original model: https://huggingface.co/MSL7/INEX12-7b/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [INEX12-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q2_K.gguf) | Q2_K | 2.53GB |\n| [INEX12-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [INEX12-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [INEX12-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [INEX12-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [INEX12-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q3_K.gguf) | Q3_K | 3.28GB |\n| [INEX12-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [INEX12-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [INEX12-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [INEX12-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [INEX12-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [INEX12-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [INEX12-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q4_K.gguf) | Q4_K | 4.07GB |\n| [INEX12-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [INEX12-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [INEX12-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [INEX12-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [INEX12-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q5_K.gguf) | Q5_K | 4.78GB |\n| [INEX12-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [INEX12-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [INEX12-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q6_K.gguf) | Q6_K | 5.53GB |\n| [INEX12-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/MSL7_-_INEX12-7b-gguf/blob/main/INEX12-7b.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\ntags:\n- merge\n- mergekit\n- lazymergekit\n- liminerity/merge2\n- yam-peleg/Experiment26-7B\n---\n\n# INEX12-7b\n\nINEX12-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n* [liminerity/merge2](https://huggingface.co/liminerity/merge2)\n* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)\n\n## 🧩 Configuration\n\n```yaml\nslices:\n - sources:\n - model: liminerity/merge2\n layer_range: [0, 32]\n - model: yam-peleg/Experiment26-7B\n layer_range: [0, 32]\nmerge_method: slerp\nbase_model: liminerity/merge2\nparameters:\n t:\n - filter: self_attn\n value: [0, 0.5, 0.3, 0.7, 1]\n - filter: mlp\n value: [1, 0.5, 0.7, 0.3, 0]\n - value: 0.5\ndtype: bfloat16\n\n```\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us"
],
"likes": 0,
"downloads": 91,
"gated": false,
"private": false,
"last_modified": "2024-09-10T22:42:38.000Z",
"created_at": "2024-09-10T16:48:35.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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"_id": "66e0786323e5f162e7fd6e3a",
"id": "RichardErkhov/MSL7_-_INEX12-7b-gguf",
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"createdAt": "2024-09-10T16:48:35.000Z",
"lastModified": "2024-09-10T22:42:38.000Z",
"author": "RichardErkhov",
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