MindPipe

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
$5.81M
Market Value
$20.56M
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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MAC-AutoML/MindPipe on SrcLog (holo style)

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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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