Black-box LLM distillation for any verifiable task, with text or image inputs: teacher API -> rejection sampling -> SFT -> eval -> GRPO
Turn a large AI model's skills into a smaller version that works on your computer for specific tasks like document reading.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeBlack-box LLM distillation for any verifiable task, with text or image inputs: teacher API -> rejection sampling -> SFT -> eval -> GRPO
distillops has 101 stars on GitHub. It has been forked 1 times. distillops is written mainly in Python. It has been in active development since 2026. distillops is available under the MIT license. Its main topics are ai-agents, distillation, document-understanding, fine-tuning.
Black-box LLM distillation for any verifiable task, with text or image inputs: teacher API -> rejection sampling -> SFT -> eval -> GRPO
distillops is an open-source project. It is released under the MIT license.
Yes. distillops is free and open source — you can use, modify and self-host it.
distillops is available under the MIT license.
distillops is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/zihao-wu06-distillops.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.