Initial commit: E4B-MarkBase model integration with passing tests

- E4B-MarkBase model (42 layers, 4.4GB) loaded successfully
- All Phase 1-6 tests passed (model loading, forward pass, vision/audio towers, token generation, performance)
- All stress tests passed (5/5 in 127.6s)
  - Concurrent inference
  - Memory stress (67.5 tok/s, 0 NaN)
  - Continuous generation
  - Batch processing
  - Long-running stability
- Swift Metal inference engine with multimodal support

start_server.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+# MarkBaseServer startup script
+
+MODEL_DIR="./models/E4B-MarkBase"
+PORT=8080
+MODEL_ID="gemma-4-e4b-markbase"
+
+echo "Starting MarkBaseServer..."
+echo "  Model: $MODEL_ID"
+echo "  Port: $PORT"
+
+cd ~/MarkBaseEngine
+.build/release/MarkBaseServer "$MODEL_DIR" "$PORT" "$MODEL_ID"