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---
base_model: deepseek-ai/DeepSeek-Coder-V2-Instruct
language:
- en
library_name: transformers
license: other
license_link: LICENSE
license_name: deepseek-license
quantized_by: mradermacher
---
## About
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static quants of https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.IQ3_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.IQ3_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.IQ3_S.gguf.part3of3) | IQ3_S | 101.8 | beats Q3_K* |
| [P1](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part1of6) [P2](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part2of6) [P3](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part3of6) [P4](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part4of6) [P5](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part5of6) [P6](https://huggingface.co/mradermacher/DeepSeek-Coder-V2-Instruct-GGUF/resolve/main/DeepSeek-Coder-V2-Instruct.Q8_0.gguf.part6of6) | Q8_0 | 250.7 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
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.
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