MarkBase Admin
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CI / build-and-test (push) Has been cancelled
- 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
52 lines
1.5 KiB
Swift
52 lines
1.5 KiB
Swift
import Foundation
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import MarkBase
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// Simple CLI test for forward pass
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let modelDir = "./models/gemma-4-12b-it-4bit"
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guard FileManager.default.fileExists(atPath: modelDir + "/config.json") else {
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print("Model not found at \(modelDir)")
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exit(1)
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}
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print("Loading engine...")
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let engine = try MarkBaseEngine(autoCompile: true)
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print("✓ Engine created")
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print("\nLoading 12B model...")
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let start = Date()
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let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 128)
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let loadTime = Date().timeIntervalSince(start)
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print("✓ Model loaded in \(String(format: "%.1f", loadTime))s")
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print(" Layers: \(model.numHiddenLayers)")
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print(" Hidden: \(model.hiddenSize)")
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print(" Vocab: \(model.vocabSize)")
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// Test forward pass
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print("\n=== Testing forward pass ===")
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print("Testing token 2 (BOS) at position 0...")
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let logits = try model.forward(tokenId: 2, position: 0, debug: true)
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print("\n✓ Forward pass complete: \(logits.count) logits")
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let maxLogit = logits.max() ?? -999
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let minLogit = logits.min() ?? -999
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let hasNaN = logits.contains { $0.isNaN }
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let nanCount = logits.filter { $0.isNaN }.count
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print(" Max logit: \(maxLogit)")
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print(" Min logit: \(minLogit)")
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print(" NaN count: \(nanCount)/\(logits.count)")
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print(" Has NaN: \(hasNaN)")
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if !hasNaN {
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let sorted = logits.enumerated().sorted { $0.element > $1.element }
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let top10 = sorted.prefix(10)
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print("\n Top 10 tokens:")
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for (idx, logit) in top10 {
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print(" Token \(idx): \(String(format: "%.4f", logit))")
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}
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}
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print("\n✅ CLI test complete!") |