Update README.md

README.md

@@ -9,14 +9,15 @@ original model [weblab-10b-instruction-sft](https://huggingface.co/matsuo-lab/we
 
 This model is A quantized(miniaturized) version of the original model(21.42GB).
 
-There are currently two well-known quantization methods.  
-(1)GPTQ model(This model. 6.3 GB)  
+There are currently two well-known quantization version of original model.  
+(1)GPTQ version(This model. 6.3 GB)  
 The size is smaller and the execution speed is faster, but the inference performance may be a little worse than original model.  
 At least one GPU is currently required due to a limitation of the Accelerate library.  
 So this model cannot be run with the huggingface space free version.  
 You need autoGPTQ library to use this model.  
 
-(2)gguf model([matsuolab-weblab-10b-instruction-sft-gguf](https://huggingface.co/mmnga/matsuolab-weblab-10b-instruction-sft-gguf) 6.03GB) created by mmnga.  
+(2)llama.cpp version(gguf)([matsuolab-weblab-10b-instruction-sft-gguf](https://huggingface.co/mmnga/matsuolab-weblab-10b-instruction-sft-gguf) 6.03GB)  
+created by mmnga.  
 You can use gguf model with llama.cpp at cpu only machine.  
 But maybe gguf model little bit slower then GPTQ especialy long text.