Update README.md

README.md

@@ -4,7 +4,7 @@ license: apache-2.0
 
 # Sidrap-7B-v2-GPTQ
 
-Sidrap-7B-v2-GPTQ is an 8-bit quantized model of Sidrap-7B-v2, which is one of the best open model LLM bahasa Indonesia available today. This model has been quantized using the [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) to get smaller model that allows us to run in low resource computer and faster inference. The quantization uses random subset of original training data to "calibrate" the weights resulting in an optimally compact model with minimall loss in accuracy.
+Sidrap-7B-v2-GPTQ is an 8-bit quantized model of Sidrap-7B-v2, which is one of the best open model LLM bahasa Indonesia available today. This model has been quantized using [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) to get smaller model that allows us to run in a lower resource environment with faster inference. The quantization uses random subset of original training data to "calibrate" the weights resulting in an optimally compact model with minimall loss in accuracy.
 
 ## Usage