EasyDistill
a toolkit on knowledge distillation for large language models
About
EasyDistill 2 is a config-driven knowledge distillation toolkit for turning black-box teacher models into high-quality training data. It composes atomic operators—generation, evaluation, filtering, rewriting, balancing, and preference scoring—into end-to-end pipelines that produce SFT datasets, DPO preference pairs, and multi-modal training data.
Open Source Health
- Stars
- 473
- Forks
- 45
- License
- Apache-2.0
- Last commit
- 2 months ago
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ModelScope
Publisher of FunASR, Ms Swift and ClearerVoice-Studio
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