ac75faa0cc
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
55 lines
2.2 KiB
Swift
55 lines
2.2 KiB
Swift
import XCTest
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@testable import MarkBase
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final class MoETests: XCTestCase {
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func test26BA4BLoading() async throws {
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let modelPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
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print("\n=====================================")
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print("Testing 26B-A4B MoE Model Loading")
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print("=====================================")
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let start = Date()
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 512)
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let loadTime = Date().timeIntervalSince(start)
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print("✓ Model loaded in \(String(format: "%.3f", 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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XCTAssertGreaterThan(model.numHiddenLayers, 0)
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XCTAssertEqual(model.hiddenSize, 2816)
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XCTAssertEqual(model.vocabSize, 262144)
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}
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func test26BA4BGeneration() async throws {
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let modelPath = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
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print("\n=====================================")
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print("Testing 26B-A4B MoE Token Generation")
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print("=====================================")
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let engine = try MarkBaseEngine(autoCompile: true)
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let model = try E4BModel(modelDir: modelPath, engine: engine, maxContextLength: 512)
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let tokenizer = try TokenizerFactory.load(modelDir: modelPath)
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let generator = StreamingGenerator(model: model, tokenizer: tokenizer, engine: engine)
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let prompt = "Hello"
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let config = GenerationConfig(maxTokens: 10, temperature: Float(0.7))
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print("Testing generation...")
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let start = Date()
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let response = try generator.generateComplete(prompt: prompt, config: config)
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let genTime = Date().timeIntervalSince(start)
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print("✓ Generated in \(String(format: "%.3f", genTime))s")
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print(" Response: \"\(response)\"")
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print(" Speed: \(String(format: "%.2f", 10.0 / genTime)) tok/s")
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XCTAssertGreaterThan(response.count, 0)
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}
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}
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