Update README.md

README.md

@@ -47,6 +47,10 @@ head, embeddings, brainstorming    6          32
 
 It is shaped for RP. It would probably perform different from any Qwen you met, 30B or higher. 
 
+Due to the brainstorming emphasis on this particular quant, the model is rating much lower in metrics than the other quants.
+
+For a fully functional, high quality quant, check out [Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx86x-hi-mlx](https://huggingface.co/nightmedia/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx86x-hi-mlx)
+
 This model is the foundation for the next Total-Recall with Star Trek TNG training, and a TNG version will be available soon.
 
 What is qx64bx
@@ -83,7 +87,7 @@ This also means I will not keep any models that are duplicating functionality or
 
 -G
 
-This model [Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx64bx-mlx](https://huggingface.co/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx64bx-mlx) was
+This model [Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx64bx-mlx](https://huggingface.co/nightmedia/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-qx64bx-mlx) was
 converted to MLX format from [DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL](https://huggingface.co/DavidAU/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL)
 using mlx-lm version **0.28.3**.