diff --git a/LICENSE b/LICENSE
index 261eeb9..0e12330 100644
--- a/LICENSE
+++ b/LICENSE
@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright [yyyy] [name of copyright owner]
+   Copyright 2026 Anush008
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
diff --git a/README.md b/README.md
index 94f47fd..9ad6096 100644
--- a/README.md
+++ b/README.md
@@ -345,9 +345,6 @@ println!("Sparse non-zero tokens: {}", sparse_emb.indices.len());
 println!("ColBERT token count: {}", output.colbert[0].len());
 ```
 
-> [!NOTE]
-> The default quantized model (`BGEM3Q`) is optimized for CPUs; passing a GPU execution provider (like CUDA) will fail. For GPU inference or custom requirements, you can export your own custom model (FP32, FP16, or INT8) using the ONNX export script from hf `gpahal/bge-m3-onnx-int8` and load it via `try_new_from_path`.
-
 ## Model cache
 
 Models download on first use and load from cache afterwards (no network needed at runtime once cached).