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WIZARDLM
LLMs refined through automated instruction evolution
ABOUT
Creating high-quality instruction data for fine-tuning LLMs typically requires expensive human annotation, limiting scale and diversity. WizardLM's Evol-Instruct automatically evolves simple seed instructions into progressively more complex, diverse, and challenging training examples using LLM-based rewriting. This produces instruction-tuned models that outperform GPT-3.5 on several benchmarks without any human annotation, making high-quality fine-tuning data generation accessible.
INSTALL
pip install transformers accelerateINTEGRATION GUIDE
1. Generate diverse instruction-following training data automatically from a few seed examples
2. Fine-tune a base model using Evol-Instruct for domain-specific assistant capabilities
3. Use WizardCoder for code generation and understanding in software development workflows
4. Apply WizardMath for step-by-step mathematical reasoning and problem-solving
5. Create a custom instruction dataset for specialized domains without manual annotation
TAGS
pythonfine-tuningllminstruction-tuningevol-instructdata-generation