aJupyter/ThinkLLM
ThinkLLM：🚀 轻量、高效的大语言模型算法实现
This project provides core algorithm implementations for large language models (LLMs). It takes various LLM components like attention mechanisms, position encodings, and optimization algorithms as input, producing Python code that helps you understand their underlying mechanics. It's intended for developers and researchers who want to learn about and build upon advanced LLM technologies.
114 stars. No commits in the last 6 months.
Use this if you are a developer or researcher looking to deeply understand and implement core algorithms for large language models, including components for RAG, Agents, and multimodal systems.
Not ideal if you are an end-user simply looking to apply pre-built large language models for tasks like content generation or data analysis without needing to delve into their internal workings.
Stars
114
Forks
12
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/aJupyter/ThinkLLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NX-AI/xlstm
Official repository of the xLSTM.
sinanuozdemir/oreilly-hands-on-gpt-llm
Mastering the Art of Scalable and Efficient AI Model Deployment
DashyDashOrg/pandas-llm
Pandas-LLM
wxhcore/bumblecore
An LLM training framework built from the ground up, featuring a custom BumbleBee architecture...
MiniMax-AI/MiniMax-01
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model &...