artificialguybr/gemma2-2b-openhermes2.5-gguf Q3_K_L 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/gemma2-2b-openhermes2.5-gguf overview
About --- ### ๐ Website You can find more of my models, projects, and information on my official website: ### ๐ 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/Gemma2-2B-OpenHermes2.5
Downloads
91
Likes
4
Pipeline
โ
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| model-Q2_K.gguf | GGUF | Q2_K | 1.15 GB | Download |
| model-Q3_K_L.gguf | GGUF | Q3_K_L | 1.44 GB | Download |
| model-Q3_K_M.gguf | GGUF | Q3_K_M | 1.36 GB | Download |
| model-Q3_K_S.gguf | GGUF | Q3_K_S | 1.27 GB | Download |
| model-Q4_0.gguf | GGUF | โ | 1.52 GB | Download |
| model-Q4_K_M.gguf | GGUF | Q4_K_M | 1.59 GB | Download |
| model-Q4_K_S.gguf | GGUF | Q4_K_S | 1.53 GB | Download |
| model-Q5_0.gguf | GGUF | โ | 1.75 GB | Download |
| model-Q5_K_M.gguf | GGUF | Q5_K_M | 1.79 GB | Download |
| model-Q5_K_S.gguf | GGUF | Q5_K_S | 1.75 GB | Download |
| model-Q6_K.gguf | GGUF | Q6_K | 2.00 GB | Download |
| model-Q8_0.gguf | GGUF | โ | 2.59 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "artificialguybr/Gemma2-2B-OpenHermes2.5",
"datasets": [
"teknium/OpenHermes-2.5"
],
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"en"
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"base_model": "artificialguybr/Gemma2-2B-OpenHermes2.5",
"datasets": [
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],
"language": [
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"license": "apache-2.0",
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"tags": [
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},
"hero_image_url": "",
"summary": "## About --- ### ๐ Website You can find more of my models, projects, and information on my official website: ### ๐ 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/Gemma2-2B-OpenHermes2.5",
"quick_links": [],
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"readme_markdown": "---\nbase_model: artificialguybr/Gemma2-2B-OpenHermes2.5\ndatasets:\n- teknium/OpenHermes-2.5\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: artificialguybr\ntags:\n- gemma\n- instruct\n- finetune\n- chatml\n- gpt4\n- synthetic data\n- distillation\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n\n---\n### ๐ Website\nYou can find more of my models, projects, and information on my official website:\n- **[artificialguy.com](https://artificialguy.com/)**\n\n### ๐ 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/Gemma2-2B-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": [
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"instruct",
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"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:teknium/OpenHermes-2.5",
"base_model:artificialguybr/Gemma2-2B-OpenHermes2.5",
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"license:apache-2.0",
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],
"likes": 4,
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"gated": false,
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"last_modified": "2025-08-04T01:39:34.000Z",
"created_at": "2024-08-16T23:43:10.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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