Create README.md

README.md

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+---
+library_name: transformers
+language:
+- en
+license: mit
+tags:
+- HelpingAI
+- GGUF
+- lite
+- code
+---
+
+#### Description 
+
+Optimize your engagement with [This project](https://huggingface.co/OEvortex/HelpingAI-Lite) by seamlessly integrating GGUF Format model files.
+
+### 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:
+
+**Single-file Deployment:** Streamline distribution and loading effortlessly. GGUF models have been meticulously architected for seamless deployment, necessitating no external files for supplementary information.
+
+**Extensibility:** Safeguard the future of your models. GGUF seamlessly accommodates the integration of new features into GGML-based executors, ensuring compatibility with existing models.
+
+**mmap Compatibility:** Prioritize efficiency. GGUF models are purposefully engineered to support mmap, facilitating rapid loading and saving, thus optimizing your workflow.
+
+**User-Friendly:** Simplify your coding endeavors. Load and save models effortlessly, irrespective of the programming language used, obviating the dependency on external libraries.
+
+**Full Information:** A comprehensive repository in a single file. GGUF models encapsulate all requisite information for loading, eliminating the need for users to furnish additional data.
+
+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 = 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