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EvalScope now supports Terminal-Bench-2.1 and Terminal-Bench-2.0. This gives users another way to run the benchmark when they want a standardized evaluation workflow around OpenAI-compatible model endpoints, saved predictions, scoring, and report generation.
This may be useful for users who find this repository while setting up Terminal-Bench-2.1 and Terminal-Bench-2.0 and want a quick path to evaluate a hosted or locally served model.
Hi harbor-framework/harbor maintainers,
EvalScope now supports Terminal-Bench-2.1 and Terminal-Bench-2.0. This gives users another way to run the benchmark when they want a standardized evaluation workflow around OpenAI-compatible model endpoints, saved predictions, scoring, and report generation.
This may be useful for users who find this repository while setting up Terminal-Bench-2.1 and Terminal-Bench-2.0 and want a quick path to evaluate a hosted or locally served model.
Example:
evalscope eval \ --model YOUR_MODEL \ --api-url OPENAI_API_COMPAT_URL \ --api-key EMPTY_TOKEN \ --datasets terminal_bench_v2_1 terminal_bench_v2 \ --limit 10Docs: https://evalscope.readthedocs.io/en/latest/third_party/terminal_bench.html
EvalScope repo: https://github.com/modelscope/evalscope
We can also open a small PR adding this as a README/Docs note, linked to this issue.