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markbaseengine/Tests/MarkBaseTests/MoETests.swift
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MarkBase Admin ac75faa0cc
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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

55 lines
2.2 KiB
Swift

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