OLMo-Eval
Evaluation pipeline
A framework for evaluating language models on NLP tasks
Evaluation suite for LLMs
326 stars
6 watching
39 forks
Language: Python
last commit: almost 2 years agoLinked from 2 awesome lists
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Evaluates language models using standardized benchmarks and prompting techniques. | 2,059 | |
| An evaluation framework for large language models with Elo rating system and A/B testing capabilities | 50 | |
| Tools and evaluation framework for accelerating the development of large multimodal models by providing an efficient way to assess their performance | 2,164 | |
| A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline. | 22 | |
| A tool to automate the evaluation of large language models in Google Colab using various benchmarks and custom parameters. | 566 | |
| A comprehensive benchmarking framework for evaluating the performance and safety of reward models in reinforcement learning. | 459 | |
| An evaluation framework for machine learning models and datasets, providing standardized metrics and tools for comparing model performance. | 2,063 | |
| An evaluation framework for large language models trained with instruction tuning methods | 535 | |
| A toolset for evaluating and comparing natural language generation models | 1,350 | |
| A framework for evaluating OpenAI models and an open-source registry of benchmarks. | 19 | |
| A framework for efficiently evaluating and benchmarking large models | 308 | |
| An automatic evaluation tool for large language models | 1,568 | |
| An open-source framework that enables language model evaluation using Prometheus and GPT4 | 820 | |
| A repository of papers and resources for evaluating large language models. | 1,450 | |
| Provides a comprehensive framework for evaluating Large Language Model (LLM) applications and pipelines with customizable metrics | 455 |