artificialguybr/qwen-2-1.5b-synthia-i-gguf Q3_K_S 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/qwen-2-1.5b-synthia-i-gguf overview
About Thanks Redmond.AI for GPU Sponsor! --- ### 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/QWEN-2-1.5B-Synthia-I
Downloads
646
Likes
2
Pipeline
โ
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
13 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| model-Q2_K.gguf | GGUF | Q2_K | 718.00 MB | Download |
| model-Q3_K_L.gguf | GGUF | Q3_K_L | 935.02 MB | Download |
| model-Q3_K_M.gguf | GGUF | Q3_K_M | 881.63 MB | Download |
| model-Q3_K_S.gguf | GGUF | Q3_K_S | 821.32 MB | Download |
| model-Q4_0.gguf | GGUF | โ | 1016.83 MB | Download |
| model-Q4_K_M.gguf | GGUF | Q4_K_M | 1.04 GB | Download |
| model-Q4_K_S.gguf | GGUF | Q4_K_S | 1021.94 MB | Download |
| model-Q5_0.gguf | GGUF | โ | 1.17 GB | Download |
| model-Q5_K_M.gguf | GGUF | Q5_K_M | 1.20 GB | Download |
| model-Q5_K_S.gguf | GGUF | Q5_K_S | 1.17 GB | Download |
| model-Q6_K.gguf | GGUF | Q6_K | 1.36 GB | Download |
| model-Q8_0.gguf | GGUF | โ | 1.76 GB | Download |
| model-f16.gguf | GGUF | F16 | 3.32 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "artificialguybr/QWEN-2-1.5B-Synthia-I",
"datasets": [
"migtissera/Synthia-v1.5-I"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "artificialguybr",
"tags": [
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation"
],
"frontmatter": {
"base_model": "artificialguybr/QWEN-2-1.5B-Synthia-I",
"datasets": [
"migtissera/Synthia-v1.5-I"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "artificialguybr",
"tags": [
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation"
]
},
"hero_image_url": "",
"summary": "## About Thanks Redmond.AI for GPU Sponsor! --- ### 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/QWEN-2-1.5B-Synthia-I",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: artificialguybr/QWEN-2-1.5B-Synthia-I\ndatasets:\n- migtissera/Synthia-v1.5-I\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: artificialguybr\ntags:\n- instruct\n- finetune\n- chatml\n- gpt4\n- synthetic data\n- distillation\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nThanks [Redmond.AI](https://redmond.ai/) for GPU Sponsor!\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\n\nQuantization for: https://huggingface.co/artificialguybr/QWEN-2-1.5B-Synthia-I\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",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:migtissera/Synthia-v1.5-I",
"base_model:artificialguybr/QWEN-2-1.5B-Synthia-I",
"base_model:quantized:artificialguybr/QWEN-2-1.5B-Synthia-I",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 646,
"gated": false,
"private": false,
"last_modified": "2025-08-04T01:40:04.000Z",
"created_at": "2024-11-13T03:22:48.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67341b880ae356553854a60a",
"id": "artificialguybr/QWEN-2-1.5B-Synthia-I-gguf",
"modelId": "artificialguybr/QWEN-2-1.5B-Synthia-I-gguf",
"sha": "a941d2fb281a692a0ae07901b73fd9d9096872ab",
"createdAt": "2024-11-13T03:22:48.000Z",
"lastModified": "2025-08-04T01:40:04.000Z",
"author": "artificialguybr",
"downloads": 646,
"likes": 2,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 15
}