Awesome-LLM-On-Policy-Distillation
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
Access a collection of research papers and tools focused on improving large language models through on-policy distillation.
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 anytimeA curated collection of papers and resources on On-Policy Distillation for Large Language Models.
Awesome-LLM-On-Policy-Distillation has 525 stars on GitHub. It has been forked 10 times. Awesome-LLM-On-Policy-Distillation is written mainly in Python. It has been in active development since 2026. Awesome-LLM-On-Policy-Distillation is available under the MIT license. Its main topics are awesome-list, awesome-opd, awesomeopd, github-pages.
What is Awesome-LLM-On-Policy-Distillation?
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
Is Awesome-LLM-On-Policy-Distillation open source?
Awesome-LLM-On-Policy-Distillation is an open-source project. It is released under the MIT license.
Is Awesome-LLM-On-Policy-Distillation free?
Yes. Awesome-LLM-On-Policy-Distillation is free and open source — you can use, modify and self-host it.
What license does Awesome-LLM-On-Policy-Distillation use?
Awesome-LLM-On-Policy-Distillation is available under the MIT license.
What language is Awesome-LLM-On-Policy-Distillation written in?
Awesome-LLM-On-Policy-Distillation is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nick7nlp-awesome-llm-on-policy-distillation.html)
