OpenLMLab

GAOKAO-Bench is an evaluation framework that utilizes GAOKAO questions as a dataset to evaluate large language models.

GAOGAO-Bench-Updates is a supplement to the GAOKAO-Bench, a dataset to evaluate large language models.

F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods

Towards Systematic Measurement for Long Text Quality

[ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark

LOMO: LOw-Memory Optimization

Use the tokenizer in parallel to achieve superior acceleration

Secrets of RLHF in Large Language Models Part I: PPO

Light local website for displaying performances from different chat models.

code for Scaling Laws of RoPE-based Extrapolation