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
2026-06-23 18:12:35 +08:00
commit ac75faa0cc
301 changed files with 63426 additions and 0 deletions
@@ -0,0 +1,69 @@
+import XCTest
+@testable import MarkBase
+
+final class G12BForwardTests: XCTestCase {
+    
+    func testModelInitialization() throws {
+        print("\n═══════════════════════════════════════")
+        print("      12B Model Initialization Test")
+        print("═══════════════════════════════════════\n")
+        
+        let modelDir = "/Users/accusys/.cache/huggingface/hub/models--mlx-community--gemma-4-12B-it-4bit/snapshots/73bcf09092aa277861d5a191b989b666f7f32e8f"
+        
+        print("Step 1: Initialize Metal engine...")
+        let engine = try MarkBaseEngine()
+        try engine.compileSource(MetalKernels.combinedSource)
+        print("  ✓ Engine ready\n")
+        
+        print("Step 2: Load 12B model...")
+        
+        // This will trigger the full shard loading
+        do {
+            let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 512)
+            
+            print("  ✓ Model loaded successfully\n")
+            
+            print("Model parameters:")
+            print("  Layers: \(model.numHiddenLayers)")
+            print("  Hidden size: \(model.hiddenSize)")
+            print("  Vocab size: \(model.vocabSize)")
+            print("  KV shared layers: \(model.numKvShared)")
+            
+            // Verify 12B parameters
+            XCTAssertEqual(model.numHiddenLayers, 48, "Should have 48 layers")
+            XCTAssertEqual(model.hiddenSize, 3840, "Should have hidden_size=3840")
+            XCTAssertEqual(model.numKvShared, 0, "Should have NO KV sharing")
+            
+            print("\n═══════════════════════════════════════")
+            print("✓ Model initialization passed")
+            print("═══════════════════════════════════════\n")
+            
+        } catch let error as E4BError {
+            print("  ✗ Model loading failed (E4BError): \(error.localizedDescription)\n")
+            throw error
+        } catch let error as WeightError {
+            print("  ✗ Model loading failed (WeightError): \(error.localizedDescription)\n")
+            throw error
+        } catch {
+            print("  ✗ Model loading failed: \(error)\n")
+            throw error
+        }
+    }
+    
+    func testForwardPassPlaceholder() throws {
+        print("\n═══════════════════════════════════════")
+        print("      Forward Pass Test (Placeholder)")
+        print("═══════════════════════════════════════\n")
+        
+        print("This test will verify forward pass once full shard loading is implemented.\n")
+        
+        print("Expected steps:")
+        print("  1. Load all shards (model-00001-of-00002 + model-00002-of-00002)")
+        print("  2. Initialize 48-layer model")
+        print("  3. Run forward pass for position 0")
+        print("  4. Verify logits output [vocab_size=262144]")
+        print("  5. Measure performance (expected ~0.08-0.12s/token)\n")
+        
+        print("Status: Pending full shard implementation\n")
+    }
+}