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Lighteval Published Releases On Pypi Libraries Io Security

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lighteval published releases on pypi libraries io security

Subscribe to an RSS feed of lighteval releases Libraries.io helps you find new open source packages, modules and frameworks and keep track of ones you depend upon. Copyright © 2025 SourceSource SA Code is Open Source under AGPLv3 license Data is available under CC-BY-SA 4.0 license pip install lighteval Copy PIP instructions A lightweight and configurable evaluation package Your go-to toolkit for lightning-fast, flexible LLM evaluation, from Hugging Face's Leaderboard and Evals Team.

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends—whether your model is being served somewhere or already loaded in memory. Dive deep into your model's performance by saving and exploring detailed, sample-by-sample results to debug and see how your models stack-up. Customization at your fingertips: letting you either browse all our existing tasks and metrics or effortlessly create your own custom task and custom metric, tailored to your needs. Your go-to toolkit for lightning-fast, flexible LLM evaluation, from Hugging Face's Leaderboard and Evals Team. Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends—whether your model is being served somewhere or already loaded in memory. Dive deep into your model's performance by saving and exploring detailed, sample-by-sample results to debug and see how your models stack-up.

Customization at your fingertips: letting you either browse all our existing tasks and metrics or effortlessly create your own custom task and custom metric, tailored to your needs. Lighteval supports 1000+ evaluation tasks across multiple domains and languages. Use this space to find what you need, or, here's an overview of some popular benchmarks: Note: lighteval is currently completely untested on Windows, and we don't support it yet. (Should be fully functional on Mac/Linux) and get access to the augmented documentation experience

🤗 Lighteval is your all-in-one toolkit for evaluating Large Language Models (LLMs) across multiple backends with ease. Dive deep into your model’s performance by saving and exploring detailed, sample-by-sample results to debug and see how your models stack up. Evaluate your models using the most popular and efficient inference backends: Customization at your fingertips: create new tasks, metrics or model tailored to your needs, or browse all our existing tasks and metrics. Seamlessly experiment, benchmark, and store your results on the Hugging Face Hub, S3, or locally. Search All packages Top packages Track packages

PyPI page Home page Author: None License: MIT License Summary: A lightweight and configurable evaluation package Latest version: 0.12.2 Required dependencies: accelerate | aenum | colorlog | datasets | fsspec | gitpython | hf-xet... Your go-to toolkit for lightning-fast, flexible LLM evaluation, from Hugging Face's Leaderboard and Evals Team. Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends—whether your model is being served somewhere or already loaded in memory. Dive deep into your model's performance by saving and exploring detailed, sample-by-sample results to debug and see how your models stack-up. Customization at your fingertips: letting you either browse all our existing tasks and metrics or effortlessly create your own custom task and custom metric, tailored to your needs. Lighteval supports 1000+ evaluation tasks across multiple domains and languages.

Use this space to find what you need, or, here's an overview of some popular benchmarks: Note: lighteval is currently completely untested on Windows, and we don't support it yet. (Should be fully functional on Mac/Linux) There was an error while loading. Please reload this page. There was an error while loading.

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Please reload this page. Reachability analysis for Ruby is now in beta, helping teams identify which vulnerabilities are truly exploitable in their applications. Malicious npm packages use Adspect cloaking and fake CAPTCHAs to fingerprint visitors and redirect victims to crypto-themed scam sites. Recent coverage mislabels the latest TEA protocol spam as a worm. Here’s what’s actually happening. and get access to the augmented documentation experience

Lighteval can be installed from PyPI or from source. This guide covers all installation options and dependencies. The simplest way to install Lighteval is from PyPI: This installs the core package with all essential dependencies for basic evaluation tasks. Source installation is recommended for developers who want to contribute to Lighteval or need the latest features: Subscribe to an RSS feed of secure releases

Libraries.io helps you find new open source packages, modules and frameworks and keep track of ones you depend upon. Copyright © 2025 SourceSource SA Code is Open Source under AGPLv3 license Data is available under CC-BY-SA 4.0 license

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