Update README.md

README.md

@@ -2,12 +2,18 @@
 license: apache-2.0
 language:
 - en
+tags:
+- 32 bit upscale
+- full 32 bit precision
+- master files
 ---
 [uploads in progress]
 
 <h3> Master Files for Ultra High Quality Remasters of "Psyonic-Cetacean" 20B </h3>
 
-Full precision (32 bit) master files for 32 bit upscales of:
+May "Space Whale" swim in the oceans of the universe forever!
+
+This repo contains the full precision (32 bit) master files for 32 bit upscales of:
 
 https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix
 
@@ -15,7 +21,11 @@ And
 
 https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF
 
-NOTE: These are "final" result files of the full precision rebuild minus 
+Please view either repo for details on the remaster's results, and other important infomation.
+
+IMPORTANT NOTES: 
+
+These are "final" result files of the full precision rebuild minus 
 GGUF and Imatrix level upscaling / adjustments which occuring during "GGUFing" processes.
 
 If you use these to create your own GGUFs, please use "outfile" at F32 for best results.
@@ -23,6 +33,14 @@ If you use these to create your own GGUFs, please use "outfile" at F32 for best
 Imatrix processes should use a stable dataset(s) of at least 500 "chunks" or more. 
 If smaller dataset(s) are used this may corrupt or reduce the quality of the Imatrix builds.
 
+Due to the precision remaster there will be "greater" distance between each quant - both
+non imatrix and imatrix.
+
+IE: The jump in quality, instruction following, "ai brainpower", nuance and output
+between Q4 and Q5 and likewise Q5 and Q6 will be larger than normal.
+
+Same applies to "Imatrix" quants.
+
 Doing this will ensure the quality of the upscale is maximized in the GGUFs.
 
 Happy GGUFing, EXL2ing, GPTQing, AWQing, HQQing.