Update README.md

README.md

@@ -75,8 +75,6 @@ This quantized bundle is intended for **on-device, offline text-generation tasks
 - Lightweight text embeddings for on-device retrieval and classification
 - Short-form summarization of notifications, messages, and local content
 
-All inference runs **locally on CPU**. No data is sent to external servers.
-
 ### Target Devices
 
 | Platform         | Runtime Memory | Feasibility |
@@ -98,7 +96,6 @@ All inference runs **locally on CPU**. No data is sent to external servers.
 - Multimodal input (this model is text-only)
 - Real-time audio/speech processing (use Aria speech models)
 - Safety-critical decision systems without human oversight
-- Deployment in production when **batch inference** or **GPU acceleration** is required (this bundle targets CPU-only, single-prompt inference)
 
 ## How to Get Started with the Model