Fix: Correct embedding dimension (1280-dim, not 768-dim)

app.py

@@ -174,7 +174,7 @@ with gr.Blocks(title="B2NL v6.2.1", theme=gr.themes.Soft()) as app:
            ↓
     Processing: Byte-level analysis with learned boundaries
            ↓
-    Output: 3 embedding vectors (768-dim each)
+    Output: 3 embedding vectors (1280-dim each)
     ```
 
     **Key Innovation**: The model learns to identify **semantic boundaries** within the 48-byte window.
@@ -313,7 +313,7 @@ A much longer text that definitely exceeds 48 bytes and will require sliding win
         ### 📐 The 48-Byte → 3 Embeddings Architecture
 
         ```
-        [48 bytes input] → [Encoder] → [3 × 768-dim embeddings] → [Decoder] → [48 bytes output]
+        [48 bytes input] → [Encoder] → [3 × 1280-dim embeddings] → [Decoder] → [48 bytes output]
                  ↑                              ↓
             (with padding)             (semantic compression)
         ```