mradermacher/deepseek-r1-distill-qwen-1.5b-medical-continual-pretrain-merged-i1-gguf IQ2_XXS 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.
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mradermacher/deepseek-r1-distill-qwen-1.5b-medical-continual-pretrain-merged-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-GGUF
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ1_M.gguf | GGUF | IQ1_M | 515.97 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ1_S.gguf | GGUF | IQ1_S | 489.33 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_M.gguf | GGUF | IQ2_M | 668.84 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_S.gguf | GGUF | IQ2_S | 633.32 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 597.86 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 560.37 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_M.gguf | GGUF | IQ3_M | 836.32 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_S.gguf | GGUF | IQ3_S | 822.72 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 793.44 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 733.44 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 1018.15 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 972.47 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q2_K.gguf | GGUF | Q2_K | 718.00 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 683.51 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 935.02 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 881.63 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 821.33 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_0.gguf | GGUF | — | 1019.30 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_1.gguf | GGUF | — | 1.08 GB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 1.04 GB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 1021.94 MB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 1.20 GB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 1.17 GB | Download |
| DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q6_K.gguf | GGUF | Q6_K | 1.36 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"qwen2",
"trl"
],
"frontmatter": {
"base_model": "MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"qwen2",
"trl"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged\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#DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-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-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q2_K.gguf) | i1-Q2_K | 0.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.9 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_S.gguf) | i1-IQ3_S | 1.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ3_M.gguf) | i1-IQ3_M | 1.0 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.1 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_0.gguf) | i1-Q4_0 | 1.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q4_1.gguf) | i1-Q4_1 | 1.3 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged.i1-Q6_K.gguf) | i1-Q6_K | 1.6 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen2",
"trl",
"en",
"base_model:MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged",
"base_model:quantized:MilyaShams/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 477,
"gated": false,
"private": false,
"last_modified": "2025-07-11T05:47:12.000Z",
"created_at": "2025-04-13T06:59:42.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67fb60deedbd902d8590c78e",
"id": "mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF",
"modelId": "mradermacher/DeepSeek-R1-Distill-Qwen-1.5B-medical-continual-pretrain-merged-i1-GGUF",
"sha": "42dfa03d78f7f66f7735fa8aecffd94e9f72fc6b",
"createdAt": "2025-04-13T06:59:42.000Z",
"lastModified": "2025-07-11T05:47:12.000Z",
"author": "mradermacher",
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"siblings_count": 27
}