Model Intelligence Sheet
richarderkhov/sakalti_-_montwhite-gguf overview
This is a merge of pre-trained language models created using mergekit.
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| montwhite.IQ3_M.gguf | GGUF | IQ3_M | 353.95 MB | Download |
| montwhite.IQ3_S.gguf | GGUF | IQ3_S | 351.12 MB | Download |
| montwhite.IQ3_XS.gguf | GGUF | IQ3_XS | 351.12 MB | Download |
| montwhite.IQ4_NL.gguf | GGUF | IQ4_NL | 362.22 MB | Download |
| montwhite.IQ4_XS.gguf | GGUF | IQ4_XS | 360.14 MB | Download |
| montwhite.Q2_K.gguf | GGUF | Q2_K | 351.12 MB | Download |
| montwhite.Q3_K.gguf | GGUF | Q3_K | 363.31 MB | Download |
| montwhite.Q3_K_L.gguf | GGUF | Q3_K_L | 373.11 MB | Download |
| montwhite.Q3_K_M.gguf | GGUF | Q3_K_M | 363.31 MB | Download |
| montwhite.Q3_K_S.gguf | GGUF | Q3_K_S | 350.87 MB | Download |
| montwhite.Q4_0.gguf | GGUF | — | 360.81 MB | Download |
| montwhite.Q4_1.gguf | GGUF | — | 384.92 MB | Download |
| montwhite.Q4_K.gguf | GGUF | Q4_K | 409.69 MB | Download |
| montwhite.Q4_K_M.gguf | GGUF | Q4_K_M | 409.69 MB | Download |
| montwhite.Q4_K_S.gguf | GGUF | Q4_K_S | 400.75 MB | Download |
| montwhite.Q5_0.gguf | GGUF | — | 409.03 MB | Download |
| montwhite.Q5_1.gguf | GGUF | — | 433.14 MB | Download |
| montwhite.Q5_K.gguf | GGUF | Q5_K | 433.74 MB | Download |
| montwhite.Q5_K_M.gguf | GGUF | Q5_K_M | 433.74 MB | Download |
| montwhite.Q5_K_S.gguf | GGUF | Q5_K_S | 428.47 MB | Download |
| montwhite.Q6_K.gguf | GGUF | Q6_K | 535.57 MB | Download |
| montwhite.Q8_0.gguf | GGUF | — | 553.69 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
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"summary": "This is a merge of pre-trained language models created using mergekit.",
"quick_links": [],
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"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\nmontwhite - GGUF\n- Model creator: https://huggingface.co/Sakalti/\n- Original model: https://huggingface.co/Sakalti/montwhite/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [montwhite.Q2_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q2_K.gguf) | Q2_K | 0.34GB |\n| [montwhite.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.IQ3_XS.gguf) | IQ3_XS | 0.34GB |\n| [montwhite.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.IQ3_S.gguf) | IQ3_S | 0.34GB |\n| [montwhite.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q3_K_S.gguf) | Q3_K_S | 0.34GB |\n| [montwhite.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.IQ3_M.gguf) | IQ3_M | 0.35GB |\n| [montwhite.Q3_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q3_K.gguf) | Q3_K | 0.35GB |\n| [montwhite.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q3_K_M.gguf) | Q3_K_M | 0.35GB |\n| [montwhite.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q3_K_L.gguf) | Q3_K_L | 0.36GB |\n| [montwhite.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.IQ4_XS.gguf) | IQ4_XS | 0.35GB |\n| [montwhite.Q4_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q4_0.gguf) | Q4_0 | 0.35GB |\n| [montwhite.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.IQ4_NL.gguf) | IQ4_NL | 0.35GB |\n| [montwhite.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q4_K_S.gguf) | Q4_K_S | 0.39GB |\n| [montwhite.Q4_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q4_K.gguf) | Q4_K | 0.4GB |\n| [montwhite.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q4_K_M.gguf) | Q4_K_M | 0.4GB |\n| [montwhite.Q4_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q4_1.gguf) | Q4_1 | 0.38GB |\n| [montwhite.Q5_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q5_0.gguf) | Q5_0 | 0.4GB |\n| [montwhite.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q5_K_S.gguf) | Q5_K_S | 0.42GB |\n| [montwhite.Q5_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q5_K.gguf) | Q5_K | 0.42GB |\n| [montwhite.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q5_K_M.gguf) | Q5_K_M | 0.42GB |\n| [montwhite.Q5_1.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q5_1.gguf) | Q5_1 | 0.42GB |\n| [montwhite.Q6_K.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q6_K.gguf) | Q6_K | 0.52GB |\n| [montwhite.Q8_0.gguf](https://huggingface.co/RichardErkhov/Sakalti_-_montwhite-gguf/blob/main/montwhite.Q8_0.gguf) | Q8_0 | 0.54GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Qwen/Qwen2.5-0.5B-Instruct\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 passthrough merge method.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nslices:\n- sources:\n - layer_range: [0, 3]\n model: Qwen/Qwen2.5-0.5B-Instruct\n- sources:\n - layer_range: [4, 7]\n model: Qwen/Qwen2.5-0.5B-Instruct\n- sources:\n - layer_range: [8, 11]\n model: Qwen/Qwen2.5-0.5B-Instruct\n- sources:\n - layer_range: [12, 15]\n model: Qwen/Qwen2.5-0.5B-Instruct\n- sources:\n - layer_range: [16, 19]\n model: Qwen/Qwen2.5-0.5B-Instruct\n- sources:\n - layer_range: [20, 23]\n model: Qwen/Qwen2.5-0.5B-Instruct\nmerge_method: passthrough\ndtype: float16\n\n```\n\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 1654,
"gated": false,
"private": false,
"last_modified": "2025-03-13T20:24:27.000Z",
"created_at": "2025-03-13T20:17:05.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67d33d411c8734be6352ea62",
"id": "RichardErkhov/Sakalti_-_montwhite-gguf",
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"sha": "2f790bae6b2129509e8505695f041c97dd7e97f3",
"createdAt": "2025-03-13T20:17:05.000Z",
"lastModified": "2025-03-13T20:24:27.000Z",
"author": "RichardErkhov",
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