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---
base_model: [deepseek-ai/DeepSeek-Coder-V2-Instruct]
---
#### Custom quantizations of deepseek-coder-v2-instruct optimized for cpu inference.
### Theis ones uses GGML TYPE IQ_4_XS in combination with q8_0 so it runs fast with minimal loss and takes advantage of int8 optimizations on most nevwer server cpus.
### While it requiremed custom code to make it is standard compatible with plain llama.cpp
>[!TIP]
>The following 4bit version is the one I use myself, it gets 17tps on 64 arm cores
>You don't need to consolidates the files anymore, just point llama-cli to the first one and it'll handle the rest fine
>Then to run just do
>```c++
>./llama-cli --temp 0.4 -m deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf -c 32000 -co -cnv -i -f bigprompt.txt
>```
>
```verilog
deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf
```
>[!TIP]
>### To download the 4bit version much faster on linux apt install aria2, on mac: brew install aria2
>
```verilog
sudo apt install -y aria2
aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf
```
>[!TIP]
> ### And for downloading the Q8_0 version converted in the most lossless way possible from hf bf16 model
>
```verilog
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00001-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00001-of-00006.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00002-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00002-of-00006.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00003-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00003-of-00006.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00004-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00004-of-00006.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00005-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00005-of-00006.gguf
aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00006-of-00006.gguf \
https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00006-of-00006.gguf
```
Enjoy and remembeter to accelerate!
-Nisten |