zjhellofss/KuiperLLama

校招、秋招、春招、实习好项目,带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。

49
/ 100
Emerging

This project offers a hands-on course for building a large language model (LLM) inference framework from scratch. It takes popular LLMs like Llama2/3 and Qwen2.5 as input, and demonstrates how to process them for efficient text generation and inference. This is designed for aspiring AI engineers and computer science students who want to master LLM deployment skills.

509 stars.

Use this if you are a computer science student or an aspiring AI engineer looking to deeply understand and implement LLM inference engines for career advancement, especially in preparing for technical interviews related to large models.

Not ideal if you are an end-user simply looking to apply pre-built LLMs without needing to understand or construct the underlying inference framework.

AI Engineering Large Language Models Machine Learning Inference Deep Learning Deployment CUDA Programming
No License No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

509

Forks

130

Language

C++

License

Last pushed

Oct 28, 2025

Commits (30d)

0

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