Update README.md

README.md

@@ -16,9 +16,7 @@ library_name: mlx
 Hi Spock!
 We are going to analyze the cognitive abilities of a few quantizations of this model
 
-The Deckard(qx) quants are in a mixed precision quantization:
-- qx64x has data at 4 bit, while the attention paths, head, and embeddings are at 6 bit
-- qx86x has data at 6 bit, while the attention paths, head, and embeddings are at 8 bit
+The Deckard(qx) quants are in a mixed precision quantization, with data at 6 bit, while the attention paths, head, and embeddings are at 8 bit
 
 The Deckard formula was inspired from my Nikon Noct Z 58mm F/0.95 for its human-like rendering, sharp details, thin depth of field, and pattern-rich background blur that humans find pleasing. In interaction, these models have a specific character that associated the name, quite often reaching out to metaphors. I used this idea in the transformer layer design, by adding enhanced attention paths in high bit size every four layers, additionally to setting the heads and embeddings to high bit.