Update README.md

README.md

@@ -100,3 +100,52 @@ Refer to either "Qwen2.5-Coder-32B-Instruct" and/or "OlympicCoder-32B" repos (ab
 
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+<H2>Help, Adjustments, Samplers, Parameters and More</H2>
+
+---
+
+<B>CHANGE THE NUMBER OF ACTIVE EXPERTS:</B>
+
+See this document:
+
+https://huggingface.co/DavidAU/How-To-Set-and-Manage-MOE-Mix-of-Experts-Model-Activation-of-Experts
+
+<B>Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:</B>
+
+In "KoboldCpp" or  "oobabooga/text-generation-webui" or "Silly Tavern" ;
+
+Set the "Smoothing_factor" to 1.5 
+
+: in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"
+
+: in text-generation-webui -> parameters -> lower right.
+
+: In Silly Tavern this is called: "Smoothing"
+
+
+NOTE: For "text-generation-webui" 
+
+-> if using GGUFs you need to use "llama_HF" (which involves downloading some config files from the SOURCE version of this model)
+
+Source versions (and config files) of my models are here:
+
+https://huggingface.co/collections/DavidAU/d-au-source-files-for-gguf-exl2-awq-gptq-hqq-etc-etc-66b55cb8ba25f914cbf210be
+
+OTHER OPTIONS:
+
+- Increase rep pen to 1.1 to 1.15 (you don't need to do this if you use "smoothing_factor")
+
+- If the interface/program you are using to run AI MODELS supports "Quadratic Sampling" ("smoothing") just make the adjustment as noted.
+
+<B>Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>
+
+This a "Class 1" model:
+
+For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:
+
+[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
+
+You can see all parameters used for generation, in addition to advanced parameters and samplers to get the most out of this model here:
+
+[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
+