EasyOPD
On-policy distillation framework for compressing LLMs with unified teacher-student training
About
EasyOPD is an open-source framework for on-policy distillation of large language models, enabling efficient compression through teacher supervision on student-generated outputs. Supports multiple supervision methods (token-level, sequence-level) and model architectures with a unified API. Designed for researchers and ML engineers building smaller, faster models while preserving capabilities of larger teachers. Particularly useful for deploying LLMs in resource-constrained environments.
Details
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Tags
Quick Info
- Organization
- Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jul 14, 2026
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