---
base_model: deepseek-ai/DeepSeek-V3
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
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static quants of https://huggingface.co/deepseek-ai/DeepSeek-V3

<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-V3-i1-GGUF
## Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.

## Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q2_K.gguf.part1of5) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q2_K.gguf.part2of5) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q2_K.gguf.part3of5) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q2_K.gguf.part4of5) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q2_K.gguf.part5of5) | Q2_K | 244.1 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part1of6) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part2of6) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part3of6) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part4of6) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part5of6) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_S.gguf.part6of6) | Q3_K_S | 289.2 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part1of7) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part2of7) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part3of7) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part4of7) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part5of7) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part6of7) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_M.gguf.part7of7) | Q3_K_M | 319.3 | lower quality |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part1of8) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part2of8) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part3of8) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part4of8) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part5of8) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part6of8) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part7of8) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q3_K_L.gguf.part8of8) | Q3_K_L | 347.5 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part1of8) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part2of8) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part3of8) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part4of8) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part5of8) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part6of8) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part7of8) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.IQ4_XS.gguf.part8of8) | IQ4_XS | 359.6 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part1of8) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part2of8) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part3of8) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part4of8) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part5of8) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part6of8) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part7of8) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_S.gguf.part8of8) | Q4_K_S | 380.1 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part1of9) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part2of9) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part3of9) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part4of9) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part5of9) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part6of9) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part7of9) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part8of9) [P9](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q4_K_M.gguf.part9of9) | Q4_K_M | 404.5 | fast, recommended |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part01of10) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part02of10) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part03of10) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part04of10) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part05of10) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part06of10) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part07of10) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part08of10) [P9](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part09of10) [P10](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_S.gguf.part10of10) | Q5_K_S | 461.9 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part01of10) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part02of10) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part03of10) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part04of10) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part05of10) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part06of10) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part07of10) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part08of10) [P9](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part09of10) [P10](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q5_K_M.gguf.part10of10) | Q5_K_M | 475.5 |  |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part01of12) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part02of12) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part03of12) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part04of12) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part05of12) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part06of12) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part07of12) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part08of12) [P9](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part09of12) [P10](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part10of12) [P11](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part11of12) [P12](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q6_K.gguf.part12of12) | Q6_K | 550.9 | very good quality |
| [P1](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part01of18) [P2](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part02of18) [P3](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part03of18) [P4](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part04of18) [P5](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part05of18) [P6](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part06of18) [P7](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part07of18) [P8](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part08of18) [P9](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part09of18) [P10](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part10of18) [P11](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part11of18) [P12](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part12of18) [P13](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part13of18) [P14](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part14of18) [P15](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part15of18) [P16](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part16of18) [P17](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part17of18) [P18](https://huggingface.co/mradermacher/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3.Q8_0.gguf.part18of18) | Q8_0 | 713.4 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

## FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

## Thanks

I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
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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