Model Intelligence Sheet
mradermacher/qwen2.5-vl-3b-abliterated-caption-it-gguf overview
About static quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-i1-GGUF
Downloads
332
Likes
2
Pipeline
image-to-text
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen2.5-VL-3B-Abliterated-Caption-it.IQ4_XS.gguf | GGUF | IQ4_XS | 1.63 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q2_K.gguf | GGUF | Q2_K | 1.19 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_L.gguf | GGUF | Q3_K_L | 1.59 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_M.gguf | GGUF | Q3_K_M | 1.48 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_S.gguf | GGUF | Q3_K_S | 1.35 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q4_K_M.gguf | GGUF | Q4_K_M | 1.80 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q4_K_S.gguf | GGUF | Q4_K_S | 1.71 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q5_K_M.gguf | GGUF | Q5_K_M | 2.07 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q5_K_S.gguf | GGUF | Q5_K_S | 2.02 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q6_K.gguf | GGUF | Q6_K | 2.36 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.Q8_0.gguf | GGUF | — | 3.06 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.f16.gguf | GGUF | F16 | 5.75 GB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.mmproj-Q8_0.gguf | GGUF | — | 805.62 MB | Download |
| Qwen2.5-VL-3B-Abliterated-Caption-it.mmproj-f16.gguf | GGUF | F16 | 1.25 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
"language": [
"en"
],
"library_name": "transformers",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text"
],
"frontmatter": {
"base_model": "prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
"language": [
"en"
],
"library_name": "transformers",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- uncensored\n- image-captioning\n- vlm\n- visual-understanding\n- caption\n- image-to-text\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q2_K.gguf) | Q2_K | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_S.gguf) | Q3_K_S | 1.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q3_K_L.gguf) | Q3_K_L | 1.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.IQ4_XS.gguf) | IQ4_XS | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q5_K_S.gguf) | Q5_K_S | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q5_K_M.gguf) | Q5_K_M | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q6_K.gguf) | Q6_K | 2.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.Q8_0.gguf) | Q8_0 | 3.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF/resolve/main/Qwen2.5-VL-3B-Abliterated-Caption-it.f16.gguf) | f16 | 6.3 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text",
"en",
"base_model:prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
"base_model:quantized:prithivMLmods/Qwen2.5-VL-3B-Abliterated-Caption-it",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 332,
"gated": false,
"private": false,
"last_modified": "2025-08-16T21:20:25.000Z",
"created_at": "2025-08-16T16:57:12.000Z",
"pipeline_tag": "image-to-text",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68a0b868db43c983de9b2c2f",
"id": "mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF",
"modelId": "mradermacher/Qwen2.5-VL-3B-Abliterated-Caption-it-GGUF",
"sha": "4d6f74f36e3e85b0ceea6510d27ee6890cae20b0",
"createdAt": "2025-08-16T16:57:12.000Z",
"lastModified": "2025-08-16T21:20:25.000Z",
"author": "mradermacher",
"downloads": 332,
"likes": 2,
"gated": false,
"private": false,
"pipeline_tag": "image-to-text",
"library_name": "transformers",
"siblings_count": 16
}