Update README.md

README.md

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 <h3>Maximizing Model Performance for All Quants Types And Full-Precision using Samplers, Advance Samplers and Parameters Guide</h3>
 
-<B><font color=red>NEW: AI Autocorrect, Auto Creative Enhancement and Low Quant Optimization Software:</font></b>
+Additional Docs:
+
+<B>#1 - NEW: AI Autocorrect, Auto Creative Enhancement and Low Quant Optimization Software:</b>
 
 Run all my models - especially class 2, 3, and 4 (as well as new class 5s) without any issues. Also enhances
 the operation of ALL models - all GGUFs, EXL2s, full source and any compressioned model type:
 
-https://huggingface.co/DavidAU/AI_Autocorrect__Auto-Creative-Enhancement__Auto-Low-Quant-Optimization__gguf-exl2-hqq-SOFTWARE
+[ https://huggingface.co/DavidAU/AI_Autocorrect__Auto-Creative-Enhancement__Auto-Low-Quant-Optimization__gguf-exl2-hqq-SOFTWARE ]
+
+<B>#2 - NEW: How to Use Thinking/Reasoning Models, including links to these and how to change a "regular model" into a thinking/reasoning model</B>
+
+Documents main focus is how to setup, and use reasoning/thinking models and how to get maximum performance from them.
+
+Document has links to all my "reasoning/thinking models" (including MOE type thinking/reasoning models), source code, and adapters.
+
+Links to "adapters" ("slice" or "essense" of a reasoning model) show how to change regular models to "thinking/reasoning" models, including step by step using Mergekit.
+
+This doc also shows how to use "system prommpt/role" to change the operation of a regular model to "simulated reasoning."
+
+[ https://huggingface.co/DavidAU/How-To-Use-Reasoning-Thinking-Models-and-Create-Them ]
 
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