LLM-Evals-Catalogue
LLM evaluator collection
A collaborative catalogue of LLM evaluation frameworks and papers
This repository stems from our paper, “Cataloguing LLM Evaluations”, and serves as a living, collaborative catalogue of LLM evaluation frameworks, benchmarks and papers.
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jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
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 h2oai/h2o-llm-eval | An evaluation framework for large language models with Elo rating system and A/B testing capabilities | 50 |
 huggingface/lighteval | An all-in-one toolkit for evaluating Large Language Models (LLMs) across multiple backends. | 879 |
 evolvinglmms-lab/lmms-eval | Tools and evaluation framework for accelerating the development of large multimodal models by providing an efficient way to assess their performance | 2,164 |
 modelscope/evalscope | A framework for efficiently evaluating and benchmarking large models | 308 |
 open-evals/evals | A framework for evaluating OpenAI models and an open-source registry of benchmarks. | 19 |
 freedomintelligence/mllm-bench | Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
 aifeg/benchlmm | An open-source benchmarking framework for evaluating cross-style visual capability of large multimodal models | 84 |
 mlabonne/llm-autoeval | A tool to automate the evaluation of large language models in Google Colab using various benchmarks and custom parameters. | 566 |
 allenai/olmo-eval | A framework for evaluating language models on NLP tasks | 326 |
 declare-lab/instruct-eval | An evaluation framework for large language models trained with instruction tuning methods | 535 |
 chenllliang/mmevalpro | A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline. | 22 |
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 volcengine/verl | A flexible RL training framework designed for large language models | 427 |