vllm-project--vllm-omni/benchmarks/accuracy

Accuracy Benchmarks

This directory hosts accuracy benchmark integrations that run entirely through a local vllm-omni serve deployment.

Current integrations:

• text_to_image/: GEBench generation + local judge scoring flow.
• image_to_image/: GEdit-Bench generation + local VIEScore-style scoring flow.

Design notes:

• Generation is executed through the OpenAI-compatible endpoints exposed by vllm-omni serve.
• Evaluation is also executed through a local OpenAI-compatible judge model served by vllm-omni.
• Both generation and judge requests accept either http://host:port or http://host:port/v1.
• Output directory layout intentionally stays close to the upstream repos.

Test guidance:

• Local static/self-checks live in tests/benchmarks/test_accuracy_bench_utils.py.
• End-to-end generation/evaluation should be validated in a remote GPU environment. In the current repo marker system there is L4 but no L5 marker, so benchmark smoke tests should be wired as full_model + benchmark + L4 for nightly when GPU capacity is available.