🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A high-throughput and memory-efficient inference and serving engine for LLMs

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

The best ChatGPT that $100 can buy.

🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!

基于Python的开源量化交易平台开发框架

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

verl: Volcano Engine Reinforcement Learning for LLMs

Nano vLLM

A framework for few-shot evaluation of language models.

Open-source unified multimodal model

slime is an LLM post-training framework for RL Scaling.

记录我在cs336学习时的笔记和作业

[NeurIPS D&B '25] The one-stop repository for LLM unlearning

[CVPR2024] MMA-Diffusion: MultiModal Attack on Diffusion Models

[NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"

[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"

通用的联邦学习后门框架（FL + Backdoor）