Individual skill
post-training-simpo
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
cli-tool/components/skills/ai-research/post-training-simpo/SKILL.md
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- post-training Declared skill tag
- simpo Declared skill tag
- preference-optimization Declared skill tag
- alignment Declared skill tag
- dpo-alternative Declared skill tag
- reference-free Declared skill tag
- llm-alignment Declared skill tag
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- engineering Derived category
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# SimPO - Simple Preference Optimization
## Quick start
SimPO is a reference-free preference optimization method that outperforms DPO without needing a reference model.
**Installation**:
```bash
# Create environment
conda create -n simpo python=3.10 && conda activate simpo
# Install PyTorch 2.2.2
# Visit: https://pytorch.org/get-started/locally/