auto-patch README.md
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README.md
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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<!-- ### vocab_type: -->
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<!-- ### tags: -->
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static quants of https://huggingface.co/deepseek-ai/DeepSeek-R1-0528
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---
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base_model: deepseek-ai/DeepSeek-R1-0528
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language:
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- en
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library_name: transformers
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license: mit
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quantized_by: mradermacher
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---
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## About
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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<!-- ### vocab_type: -->
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<!-- ### tags: -->
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static quants of https://huggingface.co/deepseek-ai/DeepSeek-R1-0528
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<!-- provided-files -->
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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.
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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more details, including on how to concatenate multi-part files.
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## Provided Quants
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q2_K.gguf.part1of5) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q2_K.gguf.part2of5) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q2_K.gguf.part3of5) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q2_K.gguf.part4of5) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q2_K.gguf.part5of5) | Q2_K | 244.2 | |
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part1of6) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part2of6) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part3of6) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part4of6) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part5of6) [P6](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_S.gguf.part6of6) | Q3_K_S | 289.3 | |
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part1of7) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part2of7) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part3of7) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part4of7) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part5of7) [P6](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part6of7) [P7](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q3_K_M.gguf.part7of7) | Q3_K_M | 319.4 | lower quality |
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part1of8) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part2of8) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part3of8) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part4of8) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part5of8) [P6](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part6of8) [P7](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part7of8) [P8](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q4_K_S.gguf.part8of8) | Q4_K_S | 380.2 | fast, recommended |
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part01of12) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part02of12) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part03of12) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part04of12) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part05of12) [P6](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part06of12) [P7](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part07of12) [P8](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part08of12) [P9](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part09of12) [P10](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part10of12) [P11](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part11of12) [P12](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q6_K.gguf.part12of12) | Q6_K | 551.0 | very good quality |
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| [P1](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part01of18) [P2](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part02of18) [P3](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part03of18) [P4](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part04of18) [P5](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part05of18) [P6](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part06of18) [P7](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part07of18) [P8](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part08of18) [P9](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part09of18) [P10](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part10of18) [P11](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part11of18) [P12](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part12of18) [P13](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part13of18) [P14](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part14of18) [P15](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part15of18) [P16](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part16of18) [P17](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part17of18) [P18](https://huggingface.co/mradermacher/DeepSeek-R1-0528-GGUF/resolve/main/DeepSeek-R1-0528.Q8_0.gguf.part18of18) | Q8_0 | 713.4 | fast, best quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## FAQ / Model Request
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See https://huggingface.co/mradermacher/model_requests for some answers to
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questions you might have and/or if you want some other model quantized.
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## Thanks
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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me use its servers and providing upgrades to my workstation to enable
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this 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.
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<!-- end -->
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