ggml-org/lora-qwen2.5-1.5b-instruct-abliterated-f16-gguf F16 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
ggml-org/lora-qwen2.5-1.5b-instruct-abliterated-f16-gguf overview
This LoRA adapter was converted to GGUF format from ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated via the ggml.ai's GGUF-my-lora space. Refer to the original adapter repository for more details.
Downloads
100
Likes
4
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
1 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| LoRA-Qwen2.5-1.5B-Instruct-abliterated-f16.gguf | GGUF | F16 | 357.05 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated",
"library_name": "transformers",
"tags": [
"mergekit",
"peft",
"llama-cpp",
"gguf-my-lora"
],
"frontmatter": {
"base_model": "ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated",
"library_name": "transformers",
"tags": [
"mergekit",
"peft",
"llama-cpp",
"gguf-my-lora"
]
},
"hero_image_url": "",
"summary": "This LoRA adapter was converted to GGUF format from ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated via the ggml.ai's GGUF-my-lora space. Refer to the original adapter repository for more details.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated\nlibrary_name: transformers\ntags:\n- mergekit\n- peft\n- llama-cpp\n- gguf-my-lora\n---\n\n# ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated-F16-GGUF\nThis LoRA adapter was converted to GGUF format from [`ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated`](https://huggingface.co/ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated) via the ggml.ai's [GGUF-my-lora](https://huggingface.co/spaces/ggml-org/gguf-my-lora) space.\nRefer to the [original adapter repository](https://huggingface.co/ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated) for more details.\n\n## Use with llama.cpp\n\n```bash\n# with cli\nllama-cli -m base_model.gguf --lora LoRA-Qwen2.5-1.5B-Instruct-abliterated-f16.gguf (...other args)\n\n# with server\nllama-server -m base_model.gguf --lora LoRA-Qwen2.5-1.5B-Instruct-abliterated-f16.gguf (...other args)\n```\n\nTo know more about LoRA usage with llama.cpp server, refer to the [llama.cpp server documentation](https://github.com/ggerganov/llama.cpp/blob/master/examples/server/README.md).\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"mergekit",
"peft",
"llama-cpp",
"gguf-my-lora",
"base_model:ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated",
"base_model:quantized:ngxson/LoRA-Qwen2.5-1.5B-Instruct-abliterated",
"endpoints_compatible",
"region:us"
],
"likes": 4,
"downloads": 100,
"gated": false,
"private": false,
"last_modified": "2025-01-23T22:16:48.000Z",
"created_at": "2025-01-23T22:16:45.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6792bfcd750df650ccf81f00",
"id": "ggml-org/LoRA-Qwen2.5-1.5B-Instruct-abliterated-F16-GGUF",
"modelId": "ggml-org/LoRA-Qwen2.5-1.5B-Instruct-abliterated-F16-GGUF",
"sha": "31fa6a80132df421cd9854b99ccac7ec688070c0",
"createdAt": "2025-01-23T22:16:45.000Z",
"lastModified": "2025-01-23T22:16:48.000Z",
"author": "ggml-org",
"downloads": 100,
"likes": 4,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 3
}