HuangOwen/Awesome-LLM-Compression
A categorized collection of research papers and software tools for compressing large language models.
Not currently ranked — collecting fresh signals.
star history
This repository aggregates academic papers and software tools focused on compressing LLMs to accelerate both training and inference. It covers major compression techniques including quantization, pruning and sparsity, knowledge distillation, efficient prompting strategies, and KV cache compression. The repository also lists relevant software tools and maintains contributions from the research community.
Frequently asked
- What is HuangOwen/Awesome-LLM-Compression?
- A categorized collection of research papers and software tools for compressing large language models.
- Is Awesome-LLM-Compression open source?
- Yes — HuangOwen/Awesome-LLM-Compression is open source, released under the MIT license.
- How popular is Awesome-LLM-Compression?
- HuangOwen/Awesome-LLM-Compression has 1.8k stars on GitHub.
- Where can I find Awesome-LLM-Compression?
- HuangOwen/Awesome-LLM-Compression is on GitHub at https://github.com/HuangOwen/Awesome-LLM-Compression.