Update README.md

README.md

@@ -16,8 +16,8 @@ This model was trained with the *dynamic sapient technology*, it was SentencePie
 
 ### Demo
 
-Example bitarray (384-bit): 000000000000000000000010000000000000000000000000000000100010010000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000100000000000000000000000000100000000000000000000000000000000000000100000000000001000000000000000000000000001000001000
-Compressed (208-bit): 1ab2ed09d7a9617206894e0608 (45.83% space saving efficiency)
+Example bitarray (384-bit): 000000000000000000000010000000000000000000000000000000100010010000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000100000000000000000000000000100000000000000000000000000000000000000100000000000001000000000000000000000000001000001000  
+Compressed (208-bit): 1ab2ed09d7a9617206894e0608 (45.83% space-saving efficiency)  
 
 [The notebook:](https://huggingface.co/baiango/384_bit_comp/blob/main/384_bit_comp.ipynb)
 ```py
@@ -66,5 +66,5 @@ It doesn't have any sentient bias, except algorithmic bias. Don't worry about it
 The model doesn't compress well strings with fewer zeros.  
 
 ## Environmental Impact
-- **Hardware Type:** GTX 1650 Mobile
+- **Hardware Type:** I5-9300H
 - **Hours used:** 3 hours