Update README.md

README.md

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 # MultivexAI/Plyx-15M
 
-**MultivexAI/Plyx-15M** is a 15 million parameter language model trained completely from scratch using the LlamaForCausalLM architecture. It is designed for maximum efficiency, showing that focusing intensely on data quality can create a highly capable foundation even at this minimal size.
+**MultivexAI/Plyx-15M** is a 15 million parameter language model, trained from scratch using the Llama architecture.
 
-Plyx-15M is intended for quick testing, research into data efficiency, and specialized fine-tuning tasks where model size must be kept small.
+We built this model to be a small, useful foundation for various tasks. It's a great starting point for quick tests, research projects, or fine-tuning on specialized jobs where a small model footprint is important.
 
-**Model Series Note:** This is **Version 1** of the Plyx model family. We are continuing this work and plan to release future models in various sizes. We expect to publish initial performance benchmarks for Plyx-15M here soon.
+**Model Series Note:** This is the first model in our Plyx series. We're continuing this work and plan to release future models in various sizes. We'll be adding some initial performance benchmarks here soon.
 
 ## Pre-training Data
 
-Plyx-15M was trained exclusively on a carefully selected set of premium datasets, prioritizing accuracy and structure.
+The model was trained on a carefully curated mix of data to build a great foundation:
 
-1.  **`fineweb-pro`** This data is a highly refined subset of FineWeb. It was aggressively filtered using advanced, automated tools to remove common errors and noise, giving the model a clean understanding of everyday language.
-2.  **`fineweb-edu`** Content focused on education and instruction, providing the model with a solid base in clear, organized knowledge.
-3.  **`finepdfs`** Specialized knowledge sourced from millions of professional reports and complex documents (PDFs). This ensures the model is exposed to formal, technical writing styles and organized information structures.
+1.  **`fineweb-pro`**: A heavily filtered and refined version of the FineWeb dataset. This provides a strong base in general-purpose language by removing significant noise and low-quality content.
+2.  **`fineweb-edu`**: A subset of FineWeb containing educational and instructional content, used to ground the model in well-structured, factual information.
+3.  **`finepdfs`**: A large collection of documents from PDFs, including professional reports and technical papers. This component introduces the model to more formal language, complex sentence structures, and data-rich formats.
 
-### Limitations
+### A Note on Size and Performance
 
-**Plyx-15M is a very small model (15 million parameters)**. Its overall performance will be limited compared to models with billions of parameters. It should primarily be used for research, highly specific tasks, or as a base for fine-tuning, not as a general-purpose language model replacement.
+To set the right expectations: **Plyx-15M is a 15-million-parameter model, which is quite small.** Its performance won't be comparable to models with billions of parameters. It's best used for research, highly specific tasks, or as a base for fine-tuning—not as a drop-in replacement for a large, general-purpose model.
 
 ## License