"Update README.md"

README.md

@@ -40,19 +40,21 @@ The core project making use of the ggml library is the [llama.cpp](https://githu
 
 # Quantization variants
 
-There is a bunch of quantized files available. How to choose the best for you:
+There is a bunch of quantized files available to cater to your specific needs. Here's how to choose the best option for you:
 
 # Legacy quants
 
 Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
 Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
-Falcon 7B models cannot be quantized to K-quants.
+## Note:
+Now there's a new option to use K-quants even for previously 'incompatible' models, although this involves some fallback solution that makes them not *real* K-quants. More details can be found in affected model descriptions.
+(This mainly refers to Falcon 7b and Starcoder models)
 
 # K-quants
 
-K-quants are based on the idea that the quantization of certain parts affects the quality in different ways. If you quantize certain parts more and others less, you get a more powerful model with the same file size, or a smaller file size and lower memory load with comparable performance.
+K-quants are designed with the idea that different levels of quantization in specific parts of the model can optimize performance, file size, and memory load.
 So, if possible, use K-quants.
-With a Q6_K you should find it really hard to find a quality difference to the original model - ask your model two times the same question and you may encounter bigger quality differences.
+With a Q6_K, you'll likely find it challenging to discern a quality difference from the original model - ask your model two times the same question and you may encounter bigger quality differences.