Update README.md

README.md

@@ -14,6 +14,12 @@ This creates models that are little or not degraded at all and have a smaller si
 They run at about 3-6 t/sec on CPU only using llama.cpp  
 And obviously faster on computers with potent GPUs   
 
+ALL the models were quantized in this way:  
+quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q5.gguf q5_k  
+quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q6.gguf q6_k  
+quantize.exe --allow-requantize --output-tensor-type f16 --token-embedding-type f16 model.f16.gguf model.f16.q6.gguf q8_0  
+and there is also a pure f16 in every directory.  
+  
 * [ZeroWw/Llama-3-8B-Instruct-Gradient-1048k-GGUF](https://huggingface.co/ZeroWw/Llama-3-8B-Instruct-Gradient-1048k-GGUF)
 * [ZeroWw/Pythia-Chat-Base-7B-GGUF](https://huggingface.co/ZeroWw/Pythia-Chat-Base-7B-GGUF)
 * [ZeroWw/Yi-1.5-6B-Chat-GGUF](https://huggingface.co/ZeroWw/Yi-1.5-6B-Chat-GGUF)