Update README.md

README.md

@@ -2,43 +2,8 @@
 license: apache-2.0
 base_model:
 - google/gemma-3-270m-it
-library_name: torq
-tags:
-  - Large Language Model
-  - Astra SL
-  - SL2600
-  - MPU
 ---
 
-# Gemma3 270M
+Torq model files for [gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it)
 
-## Model Overview
-
-The Gemma 3 270M is a highly compact, 270-million parameter multimodal model from Google designed for extreme efficiency. It is specifically engineered for well-defined tasks like text classification and data extraction where it offers a cost-effective alternative to larger models. Its lightweight architecture is particularly optimized for rapid fine-tuning.  
-
-Gemma3 270M been optimized for the Synaptics Astra™ **SL2610-Series processors** with Torq NPU.
-
-This model has a 256 token context window.
-
-
-## Model Features
-- **Model Type:** Large Language Model
-- **Input:** Text
-- **Output:** Text
-
-
-## Deployment
-
-The compiled model files are available for download on Huggingface at [Synaptics/Gemma-3-270m-it](https://huggingface.co/Synaptics/gemma-3-270m-it).
-
-Usage tutorial to be available in the future at [Synaptics AI Developer Zone](https://developer.synaptics.com/docs/sl/sl2600/introduction).
-
-
-## License
-
-Both the source model and the compiled model for on-device deployment are licensed under [MIT License](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).
-
-## Learn More
-
-- [Synaptics AI Developer Zone](https://developer.synaptics.com?utm_source=hf): Get started with documentation, tutorials and resources for your Edge AI journey.
-- [Astra Support Portal](https://synacsm.atlassian.net/servicedesk/customer/portal/543?utm_source=hf): Connect with our engineering team and community.
+This model has a 256 token context window.