---
base_model: deepseek-ai/DeepSeek-V2
language:
- en
library_name: transformers
license: other
license_link: https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL
license_name: deepseek
quantized_by: mradermacher
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/deepseek-ai/DeepSeek-V2

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static quants are available at https://huggingface.co/mradermacher/DeepSeek-V2-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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ2_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ2_M.gguf.part2of2) | i1-IQ2_M | 77.0 |  |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 86.0 | IQ3_XXS probably better |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 90.9 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_S.gguf.part3of3) | i1-Q3_K_S | 101.8 | IQ3_XS probably better |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q3_K_M.gguf.part3of3) | i1-Q3_K_M | 112.8 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ4_XS.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ4_XS.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-IQ4_XS.gguf.part3of3) | i1-IQ4_XS | 125.7 |  |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_S.gguf.part3of3) | i1-Q4_K_S | 134.0 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q4_K_M.gguf.part3of3) | i1-Q4_K_M | 142.6 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/DeepSeek-V2-i1-GGUF/resolve/main/DeepSeek-V2.i1-Q6_K.gguf.part4of4) | i1-Q6_K | 193.6 | practically like static Q6_K |

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 hardware for calculating the imatrix for these quants.

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