MarkBase Admin
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
34 lines
1.3 KiB
Swift
34 lines
1.3 KiB
Swift
import Foundation
|
|
@testable import MarkBase
|
|
|
|
print("\n═══════════════════════════════════════")
|
|
print("Simple MoE Generation Test with Debug")
|
|
print("═══════════════════════════════════════\n")
|
|
|
|
let modelDir = "/Users/accusys/MarkBaseEngine/models/gemma-4-26b-a4b-it-4bit"
|
|
|
|
do {
|
|
print("Loading model...")
|
|
let engine = try E4BEngine(autoCompile: true)
|
|
let model = try E4BModel(modelDir: modelDir, engine: engine, maxContextLength: 128)
|
|
print("✓ Model loaded (\(model.numHiddenLayers) layers)")
|
|
|
|
let tokenizer = try TokenizerFactory.load(modelDir: modelDir)
|
|
let generator = StreamingGenerator(model: model, tokenizer: tokenizer, engine: engine)
|
|
|
|
print("\nAttempting single token generation...")
|
|
let prompt = "Hello"
|
|
let config = GenerationConfig(maxTokens: 1, temperature: Float(0.7))
|
|
|
|
let start = Date()
|
|
print("Calling generateComplete...")
|
|
let response = try generator.generateComplete(prompt: prompt, config: config)
|
|
let elapsed = Date().timeIntervalSince(start)
|
|
|
|
print("\n✓ Generated in \(String(format: "%.3f", elapsed))s")
|
|
print("Response: '\(response)'")
|
|
|
|
} catch {
|
|
print("\n❌ Error: \(error)")
|
|
}
|