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A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
Fully open reproduction of DeepSeek-R1
Tongyi Deep Research, the Leading Open-source Deep Research Agent
verl: Volcano Engine Reinforcement Learning for LLMs
Train your AI self, amplify you, bridge the world
Ongoing research training transformer models at scale
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
A framework for few-shot evaluation of language models.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
The absolute trainer to light up AI agents.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
Llama3、Llama3.1 中文后训练版仓库 - 微调、魔改版本有趣权重 & 训练、推理、评测、部署教程视频 & 文档。
A simple yet powerful agent framework that delivers with open-source models
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
Official Repo for Open-Reasoner-Zero
This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.