merantix-momentum/acip

🗜️Codebase of the ACIP algorithm 🗜️

36
/ 100
Emerging

This project helps machine learning practitioners and researchers reduce the size of large language models (LLMs). It takes an existing LLM, such as LLaMA or Mistral, and outputs a significantly smaller, compressed version that still performs well. Users can easily choose their desired compression level, making models more efficient for deployment and experimentation.

Use this if you need to make large language models smaller and faster, or reduce their memory footprint, while maintaining good performance.

Not ideal if you are looking for a pre-trained LLM for immediate use without any compression needs, or if you require an extremely tiny model where advanced knowledge distillation might be more suitable.

large-language-models model-optimization machine-learning-deployment resource-management natural-language-processing
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 5 / 25

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16

Forks

1

Language

Python

License

Last pushed

Feb 11, 2026

Commits (30d)

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