Update README.md

README.md

@@ -22,11 +22,22 @@ base_model:
 - RekaAI/reka-flash-3
 pipeline_tag: text-generation
 ---
+
+(Quants uploading, examples/repo card updates pending...)
+
 <h2>Reka-Flash-3-21B-Reasoning-MAX-NEO-Imatrix-GGUF</h2>
 
 UPDATE: Re-optimizing quants, found a better mixture. Uploading NOW... 
 
-Mixture is strong enough that lower quants can now solve/reasoning and come up with a solution whereas NON-optimized 
+This reasoning model seems to be able to solve problems, faster and more directly than other tested reasoning models.
+
+It also rarely, get stuck in a loop or "lost in the woods."
+
+This model is also unusually strong even at the smallest quant levels, and with augmentation now even stronger.
+
+<B>Augmented Quants:</b>
+
+Augmented quants mixture is strong enough that lower quants can now solve/reasoning and come up with a solution whereas NON-optimized 
 may not be able to solve or take a lot longer (a lot more tokens!).
 
 Quick testing shows optimized quants can:
@@ -35,6 +46,10 @@ Quick testing shows optimized quants can:
   - Use less tokens to "reason" ... up to 50% less.
   - Faster and smaller quant size (VS "MAX" with output tensor and embed at BF16).
 
+Cost of the Augment:
+  - Quants are are slightly larger.
+  - Very small "hit" in T/S. 
+
 <B>Quants - "EDGE of REASON":</B>
 
 Generally higher quants will solve problems faster with less tokens, and be able to solve tougher problems.
@@ -77,6 +92,4 @@ Reka's excellent reasoning model with MAX (level 1) quants, and NEO Imatrix data
 
 Does support other languages besides English.
 
-Quants uploading, examples/repo card updates pending...
-
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