mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-03 09:22:01 +00:00
89 lines
2.8 KiB
Python
Executable File
89 lines
2.8 KiB
Python
Executable File
#!/usr/bin/env python3
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import numpy as np
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import sys
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import os
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from pathlib import Path
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def quick_logits_check(pytorch_file, llamacpp_file):
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"""Lightweight sanity check before NMSE"""
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try:
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pytorch_logits = np.fromfile(pytorch_file, dtype=np.float32)
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llamacpp_logits = np.fromfile(llamacpp_file, dtype=np.float32)
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except Exception as e:
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print(f"❌ NOK: Failed to load files - {e}")
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return False
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# Check shapes match
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if pytorch_logits.shape != llamacpp_logits.shape:
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print(f"❌ NOK: Shape mismatch - PyTorch: {pytorch_logits.shape}, llama.cpp: {llamacpp_logits.shape}")
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return False
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# Calculate key metrics
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diff = pytorch_logits - llamacpp_logits
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abs_diff = np.abs(diff)
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max_diff = np.max(abs_diff)
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# Get top 10 predictions from both models
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pytorch_top10 = np.argsort(pytorch_logits)[-10:][::-1]
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llamacpp_top10 = np.argsort(llamacpp_logits)[-10:][::-1]
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print(f"Top 10 PyTorch logits: {pytorch_logits[pytorch_top10]}")
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print(f"Top 10 llama.cpp logits: {llamacpp_logits[llamacpp_top10]}")
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print(f"Max absolute difference: {max_diff:.4f}")
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if max_diff > 1.0:
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print(f"❌ NOK: Large differences detected - max diff: {max_diff:.4f}")
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return False
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return True
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def main():
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model_path = os.getenv('MODEL_PATH')
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if not model_path:
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print("Error: MODEL_PATH environment variable not set")
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sys.exit(1)
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if not os.path.exists(model_path):
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print(f"Error: Model file not found: {model_path}")
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sys.exit(1)
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model_name = os.path.basename(model_path)
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data_dir = Path("data")
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pytorch_file = data_dir / f"pytorch-{model_name}.bin"
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llamacpp_file = data_dir / f"llamacpp-{model_name}.bin"
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if not pytorch_file.exists():
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print(f"Error: PyTorch logits file not found: {pytorch_file}")
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print("Please run scripts/run-org-model.sh first to generate this file.")
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sys.exit(1)
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if not llamacpp_file.exists():
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print(f"Error: llama.cpp logits file not found: {llamacpp_file}")
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print("Please run scripts/run-converted-model.sh first to generate this file.")
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sys.exit(1)
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print("Checked all required files were found. Proceeding...\n")
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print("🔍 GGML Model Validation for model ", model_name)
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print("=" * 40)
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print(f"PyTorch logits : {pytorch_file}")
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print(f"llama.cpp logits: {llamacpp_file}")
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print()
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success = quick_logits_check(pytorch_file, llamacpp_file)
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# Exit with appropriate code
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if success:
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print("✅ OK: Lightweight model check successful!")
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print(" Ok to proceed with NMSE check...")
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sys.exit(0)
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else:
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print(f"❌ NOK: Top 10 predictions don't match - generation will differ")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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