Update README.md

README.md

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 #### Description 
 
 Optimize your engagement with [This project](https://huggingface.co/OEvortex/HelpingAI-Lite) by seamlessly integrating GGUF Format model files.
-
+Please Subscribe to my youtube channel [OEvortex](https://youtube.com/@OEvortex)
 ### GGUF Technical Specifications 
 
 Delve into the intricacies of GGUF, a meticulously crafted format that builds upon the robust foundation of the GGJT model. Tailored for heightened extensibility and user-centric functionality, GGUF introduces a suite of indispensable features:
@@ -30,8 +30,23 @@ Delve into the intricacies of GGUF, a meticulously crafted format that builds up
 
 The differentiator between GGJT and GGUF lies in the deliberate adoption of a key-value structure for hyperparameters (now termed metadata). Bid farewell to untyped lists, and embrace a structured approach that seamlessly accommodates new metadata without compromising compatibility with existing models. Augment your model with supplementary information for enhanced inference and model identification.
 
-### Quantization
 
-Embark on a meticulous exploration of quantization with an array of well-defined methods at your disposal:
+**QUANTIZATION_METHODS:**
+
+| Method | Quantization | Advantages | Trade-offs |
+|---|---|---|---|
+| q2_k | 2-bit integers | Significant model size reduction | Minimal impact on accuracy |
+| q3_k_l | 3-bit integers | Balance between model size reduction and accuracy preservation | Moderate impact on accuracy |
+| q3_k_m | 3-bit integers | Enhanced accuracy with mixed precision | Increased computational complexity |
+| q3_k_s | 3-bit integers | Improved model efficiency with structured pruning | Reduced accuracy |
+| q4_0 | 4-bit integers | Significant model size reduction | Moderate impact on accuracy |
+| q4_1 | 4-bit integers | Enhanced accuracy with mixed precision | Increased computational complexity |
+| q4_k_m | 4-bit integers | Optimized model size and accuracy with mixed precision and structured pruning | Reduced accuracy |
+| q4_k_s | 4-bit integers | Improved model efficiency with structured pruning | Reduced accuracy |
+| q5_0 | 5-bit integers | Balance between model size reduction and accuracy preservation | Moderate impact on accuracy |
+| q5_1 | 5-bit integers | Enhanced accuracy with mixed precision | Increased computational complexity |
+| q5_k_m | 5-bit integers | Optimized model size and accuracy with mixed precision and structured pruning | Reduced accuracy |
+| q5_k_s | 5-bit integers | Improved model efficiency with structured pruning | Reduced accuracy |
+| q6_k | 6-bit integers | Balance between model size reduction and accuracy preservation | Moderate impact on accuracy |
+| q8_0 | 8-bit integers | Significant model size reduction | Minimal impact on accuracy |
 
-QUANTIZATION = q2_k, q3_k_l, q3_k_m, q3_k_s, q4_0, q4_1, q4_k_m, q4_k_s, q5_0, q5_1, q5_k_m, q5_k_s, q6_k, q8_0