MindPipe

MAC-AutoML

A powerful model compression framework for LLMs and LVLMs, adapted for NVIDIA GPUs and Huawei Ascend NPUs.

deployment

View on GitHub

1k Stars

24 Forks

4 Watchers

Python Language

100 SrcLog Score

Cost to Build

$5.74M

Market Value

$22.33M

How is this calculated?

Growth over time

2 data points · 2026-07-25 → 2026-08-09

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What is the MAC-AutoML/MindPipe GitHub project? Description: "A powerful model compression framework for LLMs and LVLMs, adapted for NVIDIA GPUs and Huawei Ascend NPUs.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone MindPipe

Clone via HTTPS

git clone https://github.com/MAC-AutoML/MindPipe.git

Clone via SSH

[email protected]:MAC-AutoML/MindPipe.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the MindPipe issue tracker:

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