Update README.md

README.md

@@ -68,8 +68,6 @@ This quantized bundle is intended for **on-device, offline text-generation tasks
 - Short-form summarization of notifications, messages, and local content
 - Local document analysis up to 32K context (chunked)
 
-All inference runs **locally on CPU**. No data is sent to external servers.
-
 ### Target Devices
 
 | Platform                      | Runtime Memory | Feasibility |
@@ -93,7 +91,6 @@ All inference runs **locally on CPU**. No data is sent to external servers.
 - Multimodal input (image/audio encoding pipeline is pending audit for this quantized bundle — text-only in this release)
 - 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)
 - Tasks requiring factual precision beyond the model's ~4B parameter capacity
 
 ## How to Get Started with the Model