--- 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 static quants of https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct 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): ![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.