# Infini-AI-Lab/MagicPIG

<https://repo.masters-masters.com/en/repos/Infini-AI-Lab/MagicPIG>

[Home](https://repo.masters-masters.com/en) › [Infini-AI-Lab](https://repo.masters-masters.com/en/owners/Infini-AI-Lab) › [MagicPIG](https://repo.masters-masters.com/en/repos/Infini-AI-Lab/MagicPIG)

Infini-AI-Lab/MagicPIG has 256 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR2025 Spotlight\] MagicPIG: LSH Sampling for Efficient LLM Generation

| Field | Value |
| --- | --- |
| Owner | [Infini-AI-Lab](https://repo.masters-masters.com/en/owners/Infini-AI-Lab) |
| Stars | 256 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | decoding, llm-inference, lsh-algorithm, gpu-cpu |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Infini-AI-Lab/MagicPIG](https://github.com/Infini-AI-Lab/MagicPIG) |

## Repository

\[ICLR2025 Spotlight\] MagicPIG: LSH Sampling for Efficient LLM Generation

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.