Benchmark Models in Transformers for Real Speed

Someone found a neat trick in Hugging Face Transformers that shows which model actually runs fastest on your hardware instead of just guessing.

The new benchmark_models() function tests multiple models and picks the winner based on real performance:

best_model = benchmark_models(
 models=["meta-llama/Llama-3.2-1B", "Qwen/Qwen2.5-1.5B"],
 prompt="Write a story about a robot",
 metrics=["throughput", "latency"]
)

It runs actual inference tests and returns whichever model performs best on the specific metrics that matter. No more picking models based on parameter counts or vibes - just run the benchmark and get data.

Pretty handy for optimization without the guesswork. The PR is at https://github.com/huggingface/transformers/pull/43858 if anyone wants to check implementation details.