mradermacher/deepseek-r1-distill-qwen-7b-grpo-gguf Q3_K_M 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
mradermacher/deepseek-r1-distill-qwen-7b-grpo-gguf overview
About static quants of https://huggingface.co/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-i1-GGUF
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transformers
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Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepSeek-R1-Distill-Qwen-7B-GRPO.IQ4_XS.gguf | GGUF | IQ4_XS | 3.96 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q2_K.gguf | GGUF | Q2_K | 2.81 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_L.gguf | GGUF | Q3_K_L | 3.81 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_M.gguf | GGUF | Q3_K_M | 3.55 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_S.gguf | GGUF | Q3_K_S | 3.25 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q4_K_M.gguf | GGUF | Q4_K_M | 4.36 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q4_K_S.gguf | GGUF | Q4_K_S | 4.15 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q5_K_M.gguf | GGUF | Q5_K_M | 5.07 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q5_K_S.gguf | GGUF | Q5_K_S | 4.95 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q6_K.gguf | GGUF | Q6_K | 5.82 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.Q8_0.gguf | GGUF | — | 7.54 GB | Download |
| DeepSeek-R1-Distill-Qwen-7B-GRPO.f16.gguf | GGUF | F16 | 14.19 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO",
"datasets": "DigitalLearningGmbH/MATH-lighteval",
"language": [
"en"
],
"library_name": "transformers",
"model_name": "DeepSeek-R1-Distill-Qwen-7B-GRPO",
"quantized_by": "mradermacher",
"tags": [
"generated_from_trainer",
"open-r1",
"trl",
"grpo"
],
"frontmatter": {
"base_model": "Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO",
"datasets": "DigitalLearningGmbH/MATH-lighteval",
"language": [
"en"
],
"library_name": "transformers",
"model_name": "DeepSeek-R1-Distill-Qwen-7B-GRPO",
"quantized_by": "mradermacher",
"tags": [
"generated_from_trainer",
"open-r1",
"trl",
"grpo"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO\ndatasets: DigitalLearningGmbH/MATH-lighteval\nlanguage:\n- en\nlibrary_name: transformers\nmodel_name: DeepSeek-R1-Distill-Qwen-7B-GRPO\nquantized_by: mradermacher\ntags:\n- generated_from_trainer\n- open-r1\n- trl\n- grpo\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/Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-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/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q2_K.gguf) | Q2_K | 3.1 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_S.gguf) | Q3_K_S | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q3_K_L.gguf) | Q3_K_L | 4.2 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.IQ4_XS.gguf) | IQ4_XS | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q5_K_S.gguf) | Q5_K_S | 5.4 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q5_K_M.gguf) | Q5_K_M | 5.5 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q6_K.gguf) | Q6_K | 6.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-7B-GRPO-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-7B-GRPO.f16.gguf) | f16 | 15.3 | 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",
"generated_from_trainer",
"open-r1",
"trl",
"grpo",
"en",
"dataset:DigitalLearningGmbH/MATH-lighteval",
"base_model:Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO",
"base_model:quantized:Dongwei/DeepSeek-R1-Distill-Qwen-7B-GRPO",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 97,
"gated": false,
"private": false,
"last_modified": "2025-02-04T07:23:42.000Z",
"created_at": "2025-02-03T21:05:01.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"sha": "8c43362a9aa63672e7634bb2d26751cf066acb33",
"createdAt": "2025-02-03T21:05:01.000Z",
"lastModified": "2025-02-04T07:23:42.000Z",
"author": "mradermacher",
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