nick7nlp/Awesome-LLM-On-Policy-Distillation
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
- Stars
- 584
- Forks
- 16
- Open issues
- 3
- Last push
- 10d ago
About Awesome-LLM-On-Policy-Distillation
Awesome-LLM-On-Policy-Distillation is a free, open-source AI resource list by nick7nlp, written mainly in Python. A curated collection of papers and resources on On-Policy Distillation for Large Language Models. It has 584 GitHub stars and 16 forks, and was last updated 10d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 584
- Last update
- 10d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-LLM-On-Policy-Distillation FAQ
Is Awesome-LLM-On-Policy-Distillation free?
Yes. Awesome-LLM-On-Policy-Distillation is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-LLM-On-Policy-Distillation run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-LLM-On-Policy-Distillation need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-LLM-On-Policy-Distillation still maintained?
Yes. It was last updated 10d ago and has 3 open issues on GitHub.
What are alternatives to Awesome-LLM-On-Policy-Distillation?
Similar free, open-source tools include KG-LLM-Papers, anomaly-detection-resources, LLM-eval-survey, tiny-llm.