The LLM Evaluation Framework
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Updated
Jul 22, 2025 - Python
The LLM Evaluation Framework
The one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE, WMDP, and many unlearning methods. All features: benchmarks, methods, evaluations, models etc. are easily extensible.
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
[ACL'24] A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
Multirun - Run a prompt against all, or some, of your models running on Ollama. Creates web pages with the output, performance statistics and model info. All in a single Bash shell script.
Create an evaluation framework for your LLM based app. Incorporate it into your test suite. Lay the monitoring foundation.
Measure of estimated confidence for non-hallucinative nature of outputs generated by Large Language Models.
In this we evaluate the LLM responses and find accuracy
This repo is for an streamlit application that provides a user-friendly interface for evaluating large language models (LLMs) using the beyondllm package.
Tools for systematic large language model evaluations
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