# princeton-nlp/LLM-Shearing

<https://repo.masters-masters.com/en/repos/princeton-nlp/LLM-Shearing>

[Home](https://repo.masters-masters.com/en) › [princeton-nlp](https://repo.masters-masters.com/en/owners/princeton-nlp) › [LLM-Shearing](https://repo.masters-masters.com/en/repos/princeton-nlp/LLM-Shearing)

princeton-nlp/LLM-Shearing has 643 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR 2024\] Sheared LLaMA: Accelerating Language Model Pre-training via…

| Field | Value |
| --- | --- |
| Owner | [princeton-nlp](https://repo.masters-masters.com/en/owners/princeton-nlp) |
| Stars | 643 |
| Forks | 58 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | efficiency, llm, nlp, pre-training, pruning, llama, llama2 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [princeton-nlp/LLM-Shearing](https://github.com/princeton-nlp/LLM-Shearing) |

## Repository

\[ICLR 2024\] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
