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artificialguybr/qwen2.5-0.5b-openhermes2.5-gguf Q4_0 GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

artificialguybr/qwen2.5-0.5b-openhermes2.5-gguf overview

About --- ### ๐ŸŒ Website You can find more of my models, projects, and information on my official website: ### ๐Ÿ’– Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects. Quantization for: https://huggingface.co/artificialguybr/Qwen2.5-0.5B-OpenHermes2.5/

transformersggufqweninstructfinetunechatmlgpt4synthetic datadistillationendataset:teknium/OpenHermes-2.5base_model:artificialguybr/Qwen2.5-0.5B-OpenHermes2.5base_model:quantized:artificialguybr/Qwen2.5-0.5B-OpenHermes2.5license:apache-2.0endpoints_compatibleregion:usconversational
artificialguybr/qwen2.5-0.5b-openhermes2.5-gguf visual
Downloads
96
Likes
1
Pipeline
โ€”
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

13 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
model-Q2_K.gguf GGUF Q2_K 395.95 MB Download
model-Q3_K_L.gguf GGUF Q3_K_L 425.28 MB Download
model-Q3_K_M.gguf GGUF Q3_K_M 412.03 MB Download
model-Q3_K_S.gguf GGUF Q3_K_S 395.62 MB Download
model-Q4_0.gguf GGUF โ€” 408.87 MB Download
model-Q4_K_M.gguf GGUF Q4_K_M 468.64 MB Download
model-Q4_K_S.gguf GGUF Q4_K_S 456.87 MB Download
model-Q5_0.gguf GGUF โ€” 467.75 MB Download
model-Q5_K_M.gguf GGUF Q5_K_M 498.00 MB Download
model-Q5_K_S.gguf GGUF Q5_K_S 490.96 MB Download
model-Q6_K.gguf GGUF Q6_K 620.25 MB Download
model-Q8_0.gguf GGUF โ€” 644.41 MB Download
model-f16.gguf GGUF F16 1.18 GB Download

Model Details Live

Model Slug
artificialguybr/qwen2.5-0.5b-openhermes2.5-gguf
Author
artificialguybr
Pipeline Task
โ€”
Library
transformers
Created
2024-10-15
Last Modified
2025-08-04
Gated
No
Private
No
HF SHA
5be51aca4a6a99decfa634eb40822e98bf04126a
License
apache-2.0
Language
en
Base Model
artificialguybr/Qwen2.5-0.5B-OpenHermes2.5

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "artificialguybr/Qwen2.5-0.5B-OpenHermes2.5",
    "datasets": [
      "teknium/OpenHermes-2.5"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "artificialguybr",
    "tags": [
      "qwen",
      "instruct",
      "finetune",
      "chatml",
      "gpt4",
      "synthetic data",
      "distillation"
    ],
    "frontmatter": {
      "base_model": "artificialguybr/Qwen2.5-0.5B-OpenHermes2.5",
      "datasets": [
        "teknium/OpenHermes-2.5"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "artificialguybr",
      "tags": [
        "qwen",
        "instruct",
        "finetune",
        "chatml",
        "gpt4",
        "synthetic data",
        "distillation"
      ]
    },
    "hero_image_url": "",
    "summary": "## About  --- ### ๐ŸŒ Website You can find more of my models, projects, and information on my official website: ### ๐Ÿ’– Support My Work If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.     Quantization for: https://huggingface.co/artificialguybr/Qwen2.5-0.5B-OpenHermes2.5/",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: artificialguybr/Qwen2.5-0.5B-OpenHermes2.5\ndatasets:\n- teknium/OpenHermes-2.5\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: artificialguybr\ntags:\n- qwen\n- instruct\n- finetune\n- chatml\n- gpt4\n- synthetic data\n- distillation\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n\n---\n### ๐ŸŒ Website\nYou can find more of my models, projects, and information on my official website:\n- **[artificialguy.com](https://artificialguy.com/)**\n\n### ๐Ÿ’– Support My Work\nIf you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.\n- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)\n- **Ko-fi:** [Buy me a Ko-fi](https://ko-fi.com/artificialguybr)\n- **Buy Me a Coffee:** [Buy me a Coffee](https://buymeacoffee.com/jvkape)\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nQuantization for: https://huggingface.co/artificialguybr/Qwen2.5-0.5B-OpenHermes2.5/\n\n## How to use \n\nIf you are unsure how to use GGUF files, look at the [TheBloke\nREADMEs](https://huggingface.co/TheBloke/CodeLlama-70B-Python-GGUF) for\nmore details, including on how to concatenate multi-part files.\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "qwen",
    "instruct",
    "finetune",
    "chatml",
    "gpt4",
    "synthetic data",
    "distillation",
    "en",
    "dataset:teknium/OpenHermes-2.5",
    "base_model:artificialguybr/Qwen2.5-0.5B-OpenHermes2.5",
    "base_model:quantized:artificialguybr/Qwen2.5-0.5B-OpenHermes2.5",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 96,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-04T01:39:43.000Z",
  "created_at": "2024-10-15T04:03:18.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "670de9862dcc3436d3c157e1",
  "id": "artificialguybr/Qwen2.5-0.5B-OpenHermes2.5-gguf",
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  "sha": "5be51aca4a6a99decfa634eb40822e98bf04126a",
  "createdAt": "2024-10-15T04:03:18.000Z",
  "lastModified": "2025-08-04T01:39:43.000Z",
  "author": "artificialguybr",
  "downloads": 96,
  "likes": 1,
  "gated": false,
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  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 15
}