Model Intelligence Sheet
mradermacher/parm-v1.5-qwq-qwen-2.5-o1-3b-vllm-gguf overview
About static quants of https://huggingface.co/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
88
Likes
2
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.IQ4_XS.gguf | GGUF | IQ4_XS | 1.63 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q2_K.gguf | GGUF | Q2_K | 1.19 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_L.gguf | GGUF | Q3_K_L | 1.59 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_M.gguf | GGUF | Q3_K_M | 1.48 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_S.gguf | GGUF | Q3_K_S | 1.35 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q4_K_M.gguf | GGUF | Q4_K_M | 1.80 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q4_K_S.gguf | GGUF | Q4_K_S | 1.71 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q5_K_M.gguf | GGUF | Q5_K_M | 2.07 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q5_K_S.gguf | GGUF | Q5_K_S | 2.02 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q6_K.gguf | GGUF | Q6_K | 2.36 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q8_0.gguf | GGUF | — | 3.06 GB | Download |
| PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.f16.gguf | GGUF | F16 | 5.75 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
"language": [
"en",
"zh"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE",
"license_name": "qwen-research",
"quantized_by": "mradermacher",
"tags": [
"unsloth",
"trl",
"sft",
"qwen2",
"o1"
],
"frontmatter": {
"base_model": "Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
"language": [
"en",
"zh"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE",
"license_name": "qwen-research",
"quantized_by": "mradermacher",
"tags": [
"unsloth",
"trl",
"sft",
"qwen2",
"o1"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B\nlanguage:\n- en\n- zh\nlibrary_name: transformers\nlicense: other\nlicense_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE\nlicense_name: qwen-research\nquantized_by: mradermacher\ntags:\n- unsloth\n- trl\n- sft\n- qwen2\n- o1\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q2_K.gguf) | Q2_K | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_S.gguf) | Q3_K_S | 1.6 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q3_K_L.gguf) | Q3_K_L | 1.8 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.IQ4_XS.gguf) | IQ4_XS | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q5_K_S.gguf) | Q5_K_S | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q5_K_M.gguf) | Q5_K_M | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q6_K.gguf) | Q6_K | 2.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.Q8_0.gguf) | Q8_0 | 3.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF/resolve/main/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM.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",
"unsloth",
"trl",
"sft",
"qwen2",
"o1",
"en",
"zh",
"base_model:Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
"base_model:quantized:Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 88,
"gated": false,
"private": false,
"last_modified": "2025-03-28T03:27:00.000Z",
"created_at": "2024-12-17T17:27:37.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6761b489b5d954758bb6006e",
"id": "mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF",
"modelId": "mradermacher/PARM-V1.5-QwQ-Qwen-2.5-o1-3B-VLLM-GGUF",
"sha": "d8257bed1ebba26e3e026aa1e5dc6ba421005dea",
"createdAt": "2024-12-17T17:27:37.000Z",
"lastModified": "2025-03-28T03:27:00.000Z",
"author": "mradermacher",
"downloads": 88,
"likes": 2,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 14
}