Update README.md

README.md

@@ -12,7 +12,22 @@ base_model: unsloth/gemma-2b-bnb-4bit
 pipeline_tag: text-generation
 ---
 
-# How to use
+### 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. 
+
+### Context Length
+Models are trained on a context length of 8192 tokens.
+
+### How to use
 
 ```python
 # Prompt
@@ -56,7 +71,7 @@ text_streamer = TextStreamer(tokenizer)
 _ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 256)
 ```
 
-# Uploaded  model
+### Uploaded  model
 
 - **Developed by:** firqaaa
 - **License:** apache-2.0