algorithmicsuperintelligence/optillm
GitHub 仓库 中按Star排名第 333 / 共 783
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,…
最新指标
| Star | 4.2k | 2026-07-16 |
|---|---|---|
| Fork | 370 | 2026-07-16 |
| 提交 | 928 | 2026-07-16 |
| 发布 | 99 | 2026-07-16 |
| Watcher | 39 | 2026-07-16 |
| 开放 issue | 16 | 2026-07-16 |
| 开放 PR | 4 | 2026-07-16 |