Principle:FMInference FlexLLMGen HELM Scenario Configuration
| Knowledge Sources | |
|---|---|
| Domains | Benchmark_Integration, Evaluation |
| Last Updated | 2026-02-09 00:00 GMT |
Overview
A benchmark orchestration pattern that configures HELM evaluation scenarios by parsing description strings into RunSpecs, instantiating Scenarios with dataset instances, and creating Adapters that format instances into model prompts.
Description
HELM (Holistic Evaluation of Language Models) defines scenarios (datasets + tasks), adapters (prompt formatting), and metrics. A description string like "mmlu:subject=philosophy,model=text" encodes the scenario, parameters, and model type. The orchestration pipeline parses this into RunEntry objects, resolves them to RunSpecs (containing ScenarioSpec, AdapterSpec, MetricSpecs), instantiates the Scenario (loading dataset instances), and creates an Adapter that formats instances into Request objects suitable for model inference.
Usage
Use when evaluating FlexLLMGen models on HELM benchmark tasks. The description string format follows HELM conventions for specifying scenarios, subjects, and configuration.
Theoretical Basis
HELM's modular architecture separates concerns: Scenarios define what to evaluate, Adapters define how to format prompts, and Metrics define how to score. This enables combinatorial evaluation across many tasks with consistent methodology.