Update README.md

README.md

@@ -239,6 +239,87 @@ Imatrix quants generally improve all quants, and also allow you to use smaller q
 
 IE: Instead of using a q4KM, you might be able to run an IQ3_M and get close to Q4KM's quality, but at a higher token per second speed and have more VRAM for context.
 
+---
+
+Quick Reference Table
+
+---
+
+Compiled by: "EnragedAntelope"
+
+https://huggingface.co/EnragedAntelope
+
+https://github.com/EnragedAntelope
+
+Please see sections below this for advanced usage, more details, settings notes etc etc.
+
+<small>
+<pre>
+# LLM Parameters Reference Table
+
+| Parameter 			| Description |
+
+|-----------			|-------------|
+
+| **Primary Parameters** |
+
+| temperature 		| Controls randomness of outputs (0 = deterministic, higher = more random). Range: 0-5 |
+
+| top-p 				| Selects tokens with probabilities adding up to this number. Higher = more random results. Default: 0.9 |
+
+| min-p 				| Discards tokens with probability smaller than this value × probability of most likely token. Default: 0.1 |
+
+| top-k 				| Selects only top K most likely tokens. Higher = more possible results. Default: 40 |
+
+
+| **Penalty Samplers** |
+
+| repeat-last-n 		| Number of tokens to consider for penalties. Critical for preventing repetition. Default: 64 |
+| repeat-penalty	 	| Penalizes repeated token sequences. Range: 1.0-1.15. Default: 1.0 |
+| presence-penalty 	| Penalizes token presence in previous text. Range: 0-0.2 for Class 3, 0.1-0.35 for Class 4 |
+| frequency-penalty 	| Penalizes token frequency in previous text. Range: 0-0.25 for Class 3, 0.4-0.8 for Class 4 |
+
+| penalize-nl 		| Penalizes newline tokens. Generally unused. Default: false |
+
+
+| **Secondary Samplers** |
+
+| mirostat 			| Controls perplexity during sampling. Modes: 0 (off), 1, or 2 |
+| mirostat-lr 		| Mirostat learning rate. Default: 0.1 |
+| mirostat-ent 		| Mirostat target entropy. Default: 5.0 |
+
+| dynatemp-range 	| Range for dynamic temperature adjustment. Default: 0.0 |
+| dynatemp-exp 		| Exponent for dynamic temperature scaling. Default: 1.0 |
+
+| tfs 				| Tail free sampling - removes low-probability tokens. Default: 1.0 |
+
+| typical 			| Selects tokens more likely than random given prior text. Default: 1.0 |
+
+| xtc-probability 		| Probability of token removal. Range: 0-1 |
+| xtc-threshold 		| Threshold for considering token removal. Default: 0.1 |
+
+
+| **Advanced Samplers** |
+
+| dry_multiplier 		| Controls DRY (Don't Repeat Yourself) intensity. Range: 0.8-1.12+ |
+| dry_allowed_length | Allowed length for repeated sequences in DRY. Default: 2 |
+| dry_base 			| Base value for DRY calculations. Range: 1.15-1.75+ for Class 4 |
+
+| smoothing_factor 	| Quadratic sampling intensity. Range: 1-3 for Class 3, 3-5+ for Class 4 |
+| smoothing_curve 	| Quadratic sampling curve. Range: 1 for Class 3, 1.5-2 for Class 4 |
+
+
+## Notes
+
+- For Class 3 and 4 models, using both DRY and Quadratic sampling is recommended
+- Lower quants (Q2K, IQ1s, IQ2s) may require stronger settings due to compression damage
+- Parameters interact with each other, so test changes one at a time
+- Always test with temperature at 0 first to establish a baseline
+
+</pre>
+
+</small>
+
 --- 
 
 HOW TO TEST EACH PARAMETER(s), SAMPLER(s) and ADVANCED SAMPLER(s)