EleutherAI lm-evaluation-harness Overview
This reference documents a unified framework for testing generative language models across various evaluation tasks and supported backends.
Source-reported / officially documented. No local benchmark is implied.
Framework Scope
The project provides a unified framework to test generative language models on a large number of different evaluation tasks. It includes over 60 standard academic benchmarks for LLMs, with hundreds of subtasks and variants implemented. This documentation describes the available evaluation scope without implying local execution or specific hardware performance metrics for any particular machine.
Supported Interfaces
The harness supports models loaded via transformers, GPT-NeoX, and Megatron-DeepSpeed, featuring a flexible tokenization-agnostic interface. It also supports fast and memory-efficient inference with vLLM, as well as commercial APIs including OpenAI and TextSynth. These capabilities are documented features, not verified local installations or performance guarantees for specific hardware configurations.
Sources & applicability
- EleutherAI lm-evaluation-harness · project documentation
Original date: Not supplied · Retrieved: 2026-10-03T19:02:00.544282+00:00
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