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algorithmicsuperintelligence/optillm

Python 首次收录 2024-08-22 更新于 2026-09-12 查看源 ↗

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4.3k Star

Optimizing inference proxy for LLMs

项目介绍

🚀 2-10x accuracy improvements on reasoning tasks with zero training

OptiLLM is an OpenAI API-compatible optimizing inference proxy that implements 20+ state-of-the-art techniques to dramatically improve LLM accuracy and performance on reasoning tasks - without requiring any model training or fine-tuning.

It is possible to beat the frontier models using these techniques across diverse tasks by doing additional compute at inference time. A good example of how to combine such techniques together is the CePO approach from Cerebras.

Get powerful reasoning improvements in 3 simple steps:

Before OptiLLM: "x = 1" ❌ After OptiLLM: "Let me work through this step by step: 2x + 3 = 7, so 2x = 4,…

摘自 github.com/algorithmicsuperintelligence/optillm

最新指标

Star 4.3k 2026-09-12
Fork 383 2026-09-12
提交 931 2026-09-12
发布 100 2026-09-12
Watcher 40 2026-09-12
开放 issue 19 2026-09-12
开放 PR 4 2026-09-12