EvalScopev1.0.1

A data scientist has trained a new model checkpoint and wants to evaluate its accuracy on math and coding benchmarks. Using EvalScope, they can run 'evalscope eval --model <path> --datasets gsm8k humaneval' to quickly get scores and compare with baseline models.

An MLOps engineer needs to measure throughput and latency of a deployed model API under varying loads. They use 'evalscope perf --model my-model --api-url <url> --concurrency 1,2,4,8' to generate a throughput-latency report and identify bottlenecks.

A researcher wants to find all benchmarks related to 'reasoning' for a survey. They run 'evalscope benchmark-info --list --tag reasoning' to retrieve a curated list with metadata and sample examples, then export the results.

A team lead wants to visualize and compare evaluation results from multiple model runs. They launch the Gradio UI with 'evalscope app' in the output directory, then interactively filter and compare metrics across experiments.

A QA engineer wants to test Claude's performance on MMLU before deployment. They configure 'evalscope eval --model claude-3-5-sonnet --eval-type anthropic_api --datasets mmlu --api-key sk-ant-xxx' and run a limited sample to validate integration.

Offer basic evaluation (e.g., free tier with limited benchmarks and concurrency) and premium tiers for high-throughput performance testing and priority support. Monetize via monthly subscriptions.

Provide EvalScope as a managed API where customers pay per evaluation run or per sample. Charge per dataset-model pair with volume discounts, targeting startups that don't want to manage infrastructure.

Deploy EvalScope as an on-premise or private cloud solution for enterprises with stringent data security. Include custom benchmark integration, SLAs, and dedicated support. Revenue from annual contracts.