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algorithmicsuperintelligence/optillm

Python Tracked since 2024-08-22 Updated 2026-07-16 View source ↗

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Optimizing inference proxy for LLMs

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🚀 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,…

Excerpted from github.com/algorithmicsuperintelligence/optillm

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Stars 4.2k 2026-07-16
Forks 370 2026-07-16
Commits 928 2026-07-16
Releases 99 2026-07-16
Watchers 39 2026-07-16
Open issues 16 2026-07-16
Open PRs 4 2026-07-16