Updated README

README.md

@@ -22,21 +22,13 @@ This model card corresponds to the 2B finetuned version of the Gemma-2b-it model
 
 **Author**: Dishank Shah
 
-## Model Information
-
-Summary description and brief definition of inputs and outputs.
-
 ### Description
 
-Gemma is a family of lightweight, state-of-the-art open models from Google,
-built from the same research and technology used to create the Gemini models.
-They are text-to-text, decoder-only large language models, available in English,
-with open weights, pre-trained variants, and instruction-tuned variants. Gemma
-models are well-suited for a variety of text generation tasks, including
-question answering, summarization, and reasoning. Their relatively small size
-makes it possible to deploy them in environments with limited resources such as
-a laptop, desktop or your own cloud infrastructure, democratizing access to
-state of the art AI models and helping foster innovation for everyone.
+GifPC-2b (Gemma-2b-it-finetuned-python-codes) LLM is trained on a dataset containing Python code snippets.
+This specialized training aimed to enhance Gemma-2b-it's understanding of Python syntax, semantics, and common programming patterns.
+With this finetuning, Gemma-2b-it is now proficient in not only comprehending Python code but also capable of assisting in debugging tasks.
+Users can leverage its trained knowledge to seek guidance on Python-related issues, understand code logic, and identify potential errors within their programs.
+This specialized Gemma-2b-it variant serves as a valuable tool for programmers seeking assistance and guidance in Python programming and debugging tasks.
 
 ### Usage