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
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+import XCTest
+@testable import MarkBase
+
+class ModelScalesComparisonTest: XCTestCase {
+    
+    func testCompareAllModelScales() throws {
+        print("\n═══════════════════════════════════════════════════════════════════")
+        print("  26B-Standard vs 26B-A4B vs 31B Scales Comparison")
+        print("═══════════════════════════════════════════════════════════════════\n")
+        
+        // 26B-Standard (single file, custom quant)
+        print("1. 26B-Standard:")
+        let standardPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-standard"
+        let standardReader = try SafeTensorsReader(path: "\(standardPath)/model.safetensors")
+        let standardTensors = standardReader.allTensors
+        
+        let standardScales = standardTensors.first { $0.name.contains("embed_tokens.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("  Scales shape: \(s.shape), dtype: \(s.dtype)")
+            print("  Sample: \(scales)")
+            let nanCount = scales.filter { $0.isNaN }.count
+            let negCount = scales.filter { $0 < 0 }.count
+            print("  NaN: \(nanCount), Negative: \(negCount)")
+        }
+        
+        // 26B-A4B (sharded, MLX-vlm 0.4.3)
+        print("\n2. 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 }
+        
+        let a4bScales = a4bTensors.first { $0.name.contains("embed_tokens.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("  Scales shape: \(s.shape), dtype: \(s.dtype)")
+            print("  Sample: \(scales)")
+            let nanCount = scales.filter { $0.isNaN }.count
+            let negCount = scales.filter { $0 < 0 }.count
+            print("  NaN: \(nanCount), Negative: \(negCount)")
+        }
+        
+        // 31B (sharded, MLX-vlm 0.4.3)
+        print("\n3. 31B:")
+        let model31BPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-31b-it-4bit"
+        let model31BIndex = try SafeTensorsIndex(modelDir: model31BPath)
+        var model31BReaders: [String: SafeTensorsReader] = [:]
+        for shardFile in model31BIndex.weightMap.values {
+            if model31BReaders[shardFile] == nil {
+                model31BReaders[shardFile] = try SafeTensorsReader(path: "\(model31BPath)/\(shardFile)")
+            }
+        }
+        let model31BTensors = model31BReaders.values.flatMap { $0.allTensors }
+        
+        let model31BScales = model31BTensors.first { $0.name.contains("embed_tokens.scales") }
+        if let s = model31BScales {
+            let reader = model31BReaders[model31BIndex.weightMap[s.name] ?? "model-00001-of-00004.safetensors"]!
+            let data = try reader.read(tensor: s)
+            let scales = data.withUnsafeBytes { ptr in
+                Array(ptr.assumingMemoryBound(to: Float.self).prefix(20))
+            }
+            print("  Scales shape: \(s.shape), dtype: \(s.dtype)")
+            print("  Sample: \(scales)")
+            let nanCount = scales.filter { $0.isNaN }.count
+            let negCount = scales.filter { $0 < 0 }.count
+            print("  NaN: \(nanCount), Negative: \(negCount)")
+        }
+        
+        print("\n═══════════════════════════════════════════════════════════════════")
+        print("  Comparison Summary")
+        print("═══════════════════════════════════════════════════════════════════\n")
+        print("26B-Standard: custom quant, group_size=32")
+        print("26B-A4B: MLX-vlm 0.4.3, group_size=64, affine")
+        print("31B: MLX-vlm 0.4.3, group_size=64, affine")
+        print("\nIf 31B scales similar to 26B-A4B (±0.01), it may have same problem!")
+        print("═══════════════════════════════════════════════════════════════════\n")
+    }
+}