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richarderkhov/sakalti_-_montwhite-gguf overview

This is a merge of pre-trained language models created using mergekit.

ggufendpoints_compatibleregion:usconversational
richarderkhov/sakalti_-_montwhite-gguf visual
Downloads
1,654
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
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

Model Slug
richarderkhov/sakalti_-_montwhite-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2025-03-13
Last Modified
2025-03-13
Gated
No
Private
No
HF SHA
2f790bae6b2129509e8505695f041c97dd7e97f3
License
Unknown
Language
Unknown
Base Model
Unknown

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\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)
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  "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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  "siblings_count": 24
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