Fixed 5am spelling mistakes

README.md

@@ -4,8 +4,8 @@ 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 required custom code to make, it is standard compatible with plain llama.cpp from github or just search nisten in lmstudio.
+### This iq4xm one uses GGML TYPE IQ_4_XS 4bit in combination with q8_0 bit so it runs fast with minimal loss and takes advantage of int8 optimizations on most newer server cpus.
+### While it required custom code to make, it is compatible with standard llama.cpp from github or just search nisten in lmstudio.
 
 >[!TIP]
 >The following 4bit version is the one I use myself, it gets 17tps on 64 arm cores.
@@ -45,8 +45,9 @@ aria2c -x 8 -o 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:
+> ### And for downloading the Q8_0 version converted in the most lossless way possible from hf bf16 download these:
 >
 ```verilog
 
@@ -69,6 +70,6 @@ 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!
+Enjoy and remember to accelerate!
 
 -Nisten