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 +1,91 @@
+import XCTest
+@testable import MarkBase
+
+class A4BComparisonTest: XCTestCase {
+    
+    func testCompareEmbeddingTensors() throws {
+        print("\n═══════════════════════════════════════════════════════════════════")
+        print("  26B-A4B vs 26B-Standard Embedding Tensor Comparison")
+        print("═══════════════════════════════════════════════════════════════════\n")
+        
+        // Load 26B-A4B
+        let a4bPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
+        let a4bIndex = try SafeTensorsIndex(modelDir: a4bPath)
+        var a4bReaders: [String: SafeTensorsReader] = [:]
+        for shardFile in a4bIndex.weightMap.values {
+            if a4bReaders[shardFile] == nil {
+                a4bReaders[shardFile] = try SafeTensorsReader(path: "\(a4bPath)/\(shardFile)")
+            }
+        }
+        let a4bTensors = a4bReaders.values.flatMap { $0.allTensors }
+        
+        // Load 26B-Standard (single file)
+        let standardPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-standard"
+        let standardReader = try SafeTensorsReader(path: "\(standardPath)/model.safetensors")
+        let standardTensors = standardReader.allTensors
+        
+        print("26B-A4B tensors: \(a4bTensors.count)")
+        print("26B-Standard tensors: \(standardTensors.count)")
+        
+        // Compare embed_tokens
+        print("\nEmbedding tensor comparison:")
+        
+        // A4B
+        let a4bWeight = a4bTensors.first { $0.name.contains("embed_tokens.weight") }
+        let a4bScales = a4bTensors.first { $0.name.contains("embed_tokens.scales") }
+        let a4bBiases = a4bTensors.first { $0.name.contains("embed_tokens.biases") }
+        
+        print("\n26B-A4B:")
+        if let w = a4bWeight { print("  weight: \(w.shape), \(w.dtype)") }
+        if let s = a4bScales { print("  scales: \(s.shape), \(s.dtype)") }
+        if let b = a4bBiases { print("  biases: \(b.shape), \(b.dtype)") }
+        
+        // Standard
+        let standardWeight = standardTensors.first { $0.name.contains("embed_tokens.weight") }
+        let standardScales = standardTensors.first { $0.name.contains("embed_tokens.scales") }
+        let standardBiases = standardTensors.first { $0.name.contains("embed_tokens.biases") }
+        
+        print("\n26B-Standard:")
+        if let w = standardWeight { print("  weight: \(w.shape), \(w.dtype)") }
+        if let s = standardScales { print("  scales: \(s.shape), \(s.dtype)") }
+        if let b = standardBiases { print("  biases: \(b.shape), \(b.dtype)") }
+        
+        // Compare first few weight values (if uint32, sample them)
+        if let w = a4bWeight, w.dtype == .u32 {
+            let reader = a4bReaders[a4bIndex.weightMap[w.name] ?? "model-00001-of-00003.safetensors"]!
+            let data = try reader.read(tensor: w)
+            let uint32s = data.withUnsafeBytes { ptr in
+                Array(ptr.bindMemory(to: UInt32.self).prefix(20))
+            }
+            print("\n26B-A4B weight sample (first 20 uint32): \(uint32s)")
+        }
+        
+        if let w = standardWeight, w.dtype == .u32 {
+            let data = try standardReader.read(tensor: w)
+            let uint32s = data.withUnsafeBytes { ptr in
+                Array(ptr.bindMemory(to: UInt32.self).prefix(20))
+            }
+            print("\n26B-Standard weight sample (first 20 uint32): \(uint32s)")
+        }
+        
+        // Compare scales
+        if let s = a4bScales {
+            let reader = a4bReaders[a4bIndex.weightMap[s.name] ?? "model-00001-of-00003.safetensors"]!
+            let data = try reader.read(tensor: s)
+            let scales = data.withUnsafeBytes { ptr in
+                Array(ptr.assumingMemoryBound(to: Float.self).prefix(20))
+            }
+            print("\n26B-A4B scales sample (first 20): \(scales)")
+        }
+        
+        if let s = standardScales {
+            let data = try standardReader.read(tensor: s)
+            let scales = data.withUnsafeBytes { ptr in
+                Array(ptr.assumingMemoryBound(to: Float.self).prefix(20))
+            }
+            print("\n26B-Standard scales sample (first 20): \(scales)")
+        }
+        
+        print("\n═══════════════════════════════════════════════════════════════════")
+    }
+}