Create README.md

README.md

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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 and takes advantage of int8 optimizations on most nevwer server cpus.
+### While it requirement custom code to make it is standard compatible with plain llama.cpp
+
+```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 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
+```