import{s as Ue,a as Le,n as Ie,o as Se}from"../chunks/scheduler.3a17fb72.js";import{S as Pe,i as Ge,e as f,s as i,c as s,h as Fe,a as g,d as l,b as n,f as he,g as r,j as J,k as h,l as He,m as a,n as o,t as m,o as u,p}from"../chunks/index.093f8863.js";import{C as Ze,H as d,E as je}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.87e87726.js";import{C as _e}from"../chunks/CodeBlock.0812be60.js";function ze(ve){let v,q,W,R,b,Q,w,V,y,be=`🤗 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.`,D,k,X,M,N,x,we="Evaluate your models using the most popular and efficient inference backends:",K,C,ye=`<li><code>eval</code>: Use <a href="https://inspect.aisi.org.uk/" rel="nofollow">inspect-ai</a> as backend to evaluate and inspect your models ! (prefered way)</li> <li><code>transformers</code>: Evaluate models on CPU or one or more GPUs using <a href="https://github.com/huggingface/transformers" rel="nofollow">🤗
Accelerate</a></li> <li><code>nanotron</code>: Evaluate models in distributed settings using <a href="https://github.com/huggingface/nanotron" rel="nofollow">⚡️
Nanotron</a></li> <li><code>vllm</code>: Evaluate models on one or more GPUs using <a href="https://github.com/vllm-project/vllm" rel="nofollow">🚀
VLLM</a></li> <li><code>custom</code>: Evaluate custom models (can be anything)</li> <li><code>sglang</code>: Evaluate models using <a href="https://github.com/sgl-project/sglang" rel="nofollow">SGLang</a> as backend</li> <li><code>inference-endpoint</code>: Evaluate models using Hugging Face’s <a href="https://huggingface.co/inference-endpoints/dedicated" rel="nofollow">Inference Endpoints API</a></li> <li><code>tgi</code>: Evaluate models using <a href="https://huggingface.co/docs/text-generation-inference/en/index" rel="nofollow">🔗 Text Generation Inference</a> running locally</li> <li><code>litellm</code>: Evaluate models on any compatible API using <a href="https://www.litellm.ai/" rel="nofollow">LiteLLM</a></li> <li><code>inference-providers</code>: Evaluate models using <a href="https://huggingface.co/docs/inference-providers/en/index" rel="nofollow">HuggingFace’s inference providers</a> as backend**: Distributed training and evaluation</li>`,O,T,Y,E,ke="<li><strong>Extensive Task Library</strong>: 1000s pre-built evaluation tasks</li> <li><strong>Custom Task Creation</strong>: Build your own evaluation tasks</li> <li><strong>Flexible Metrics</strong>: Support for custom metrics and scoring</li> <li><strong>Detailed Analysis</strong>: Sample-by-sample results for deep insights</li>",ee,L,te,_,Me=`Customization at your fingertips: create <a href="adding-a-custom-task">new tasks</a>,
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