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Model Intelligence Sheet

richarderkhov/jbaron34_-_qwen2.5-0.5b-bebop-reranker-gguf overview

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

gguftext-rankingendpoints_compatibleregion:us
richarderkhov/jbaron34_-_qwen2.5-0.5b-bebop-reranker-gguf visual
Downloads
90
Likes
0
Pipeline
text-ranking
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen2.5-0.5b-bebop-reranker.IQ3_M.gguf GGUF IQ3_M 326.87 MB Download
Qwen2.5-0.5b-bebop-reranker.IQ3_S.gguf GGUF IQ3_S 322.92 MB Download
Qwen2.5-0.5b-bebop-reranker.IQ3_XS.gguf GGUF IQ3_XS 322.92 MB Download
Qwen2.5-0.5b-bebop-reranker.IQ4_NL.gguf GGUF IQ4_NL 337.89 MB Download
Qwen2.5-0.5b-bebop-reranker.IQ4_XS.gguf GGUF IQ4_XS 335.16 MB Download
Qwen2.5-0.5b-bebop-reranker.Q2_K.gguf GGUF Q2_K 322.92 MB Download
Qwen2.5-0.5b-bebop-reranker.Q3_K.gguf GGUF Q3_K 339.00 MB Download
Qwen2.5-0.5b-bebop-reranker.Q3_K_L.gguf GGUF Q3_K_L 352.24 MB Download
Qwen2.5-0.5b-bebop-reranker.Q3_K_M.gguf GGUF Q3_K_M 339.00 MB Download
Qwen2.5-0.5b-bebop-reranker.Q3_K_S.gguf GGUF Q3_K_S 322.59 MB Download
Qwen2.5-0.5b-bebop-reranker.Q4_0.gguf GGUF 335.84 MB Download
Qwen2.5-0.5b-bebop-reranker.Q4_1.gguf GGUF 357.17 MB Download
Qwen2.5-0.5b-bebop-reranker.Q4_K.gguf GGUF Q4_K 379.38 MB Download
Qwen2.5-0.5b-bebop-reranker.Q4_K_M.gguf GGUF Q4_K_M 379.38 MB Download
Qwen2.5-0.5b-bebop-reranker.Q4_K_S.gguf GGUF Q4_K_S 367.61 MB Download
Qwen2.5-0.5b-bebop-reranker.Q5_0.gguf GGUF 378.49 MB Download
Qwen2.5-0.5b-bebop-reranker.Q5_1.gguf GGUF 399.82 MB Download
Qwen2.5-0.5b-bebop-reranker.Q5_K.gguf GGUF Q5_K 400.62 MB Download
Qwen2.5-0.5b-bebop-reranker.Q5_K_M.gguf GGUF Q5_K_M 400.62 MB Download
Qwen2.5-0.5b-bebop-reranker.Q5_K_S.gguf GGUF Q5_K_S 393.59 MB Download
Qwen2.5-0.5b-bebop-reranker.Q6_K.gguf GGUF Q6_K 482.31 MB Download
Qwen2.5-0.5b-bebop-reranker.Q8_0.gguf GGUF 506.46 MB Download

Model Details Live

Model Slug
richarderkhov/jbaron34_-_qwen2.5-0.5b-bebop-reranker-gguf
Author
RichardErkhov
Pipeline Task
text-ranking
Library
Created
2025-03-13
Last Modified
2025-04-02
Gated
No
Private
No
HF SHA
28a2fb488123f7b2957e542565f4b6230d53f6d4
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "pipeline_tag": "text-ranking",
    "frontmatter": {
      "pipeline_tag": "text-ranking"
    },
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\npipeline_tag: text-ranking\n---\nQuantization 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\nQwen2.5-0.5b-bebop-reranker - GGUF\n- Model creator: https://huggingface.co/jbaron34/\n- Original model: https://huggingface.co/jbaron34/Qwen2.5-0.5b-bebop-reranker/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2.5-0.5b-bebop-reranker.Q2_K.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q2_K.gguf) | Q2_K | 0.32GB |\n| [Qwen2.5-0.5b-bebop-reranker.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.IQ3_XS.gguf) | IQ3_XS | 0.32GB |\n| [Qwen2.5-0.5b-bebop-reranker.IQ3_S.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.IQ3_S.gguf) | IQ3_S | 0.32GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q3_K_S.gguf) | Q3_K_S | 0.32GB |\n| [Qwen2.5-0.5b-bebop-reranker.IQ3_M.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.IQ3_M.gguf) | IQ3_M | 0.32GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q3_K.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q3_K.gguf) | Q3_K | 0.33GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q3_K_M.gguf) | Q3_K_M | 0.33GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q3_K_L.gguf) | Q3_K_L | 0.34GB |\n| [Qwen2.5-0.5b-bebop-reranker.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.IQ4_XS.gguf) | IQ4_XS | 0.33GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q4_0.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q4_0.gguf) | Q4_0 | 0.33GB |\n| [Qwen2.5-0.5b-bebop-reranker.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.IQ4_NL.gguf) | IQ4_NL | 0.33GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q4_K_S.gguf) | Q4_K_S | 0.36GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q4_K.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q4_K.gguf) | Q4_K | 0.37GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q4_K_M.gguf) | Q4_K_M | 0.37GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q4_1.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q4_1.gguf) | Q4_1 | 0.35GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q5_0.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q5_0.gguf) | Q5_0 | 0.37GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q5_K_S.gguf) | Q5_K_S | 0.38GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q5_K.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q5_K.gguf) | Q5_K | 0.39GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q5_K_M.gguf) | Q5_K_M | 0.39GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q5_1.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q5_1.gguf) | Q5_1 | 0.39GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q6_K.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q6_K.gguf) | Q6_K | 0.47GB |\n| [Qwen2.5-0.5b-bebop-reranker.Q8_0.gguf](https://huggingface.co/RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf/blob/main/Qwen2.5-0.5b-bebop-reranker.Q8_0.gguf) | Q8_0 | 0.49GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/qwen2.5-0.5b-bnb-4bit\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\nlicense: apache-2.0\nlanguage:\n- en\n---\n\n# Uploaded  model\n\n- **Developed by:** jbaron34\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/qwen2.5-0.5b-bnb-4bit\n\nThis qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.\n\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-ranking",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 90,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-02T15:17:46.000Z",
  "created_at": "2025-03-13T14:24:57.000Z",
  "pipeline_tag": "text-ranking",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67d2eab936fbc5da9555dc8a",
  "id": "RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf",
  "modelId": "RichardErkhov/jbaron34_-_Qwen2.5-0.5b-bebop-reranker-gguf",
  "sha": "28a2fb488123f7b2957e542565f4b6230d53f6d4",
  "createdAt": "2025-03-13T14:24:57.000Z",
  "lastModified": "2025-04-02T15:17:46.000Z",
  "author": "RichardErkhov",
  "downloads": 90,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-ranking",
  "library_name": "",
  "siblings_count": 24
}