verl
🧠A flexible, efficient, and production-ready post-training reinforcement learning framework for LLMs
A flexible, efficient, and production-ready post-training reinforcement learning framework for LLMs
An advanced post-training quantization toolkit for LLMs and VLMs by Intel, leveraging SignRound optimization to support 2–4 bit weight quantization and automatic mixed-precision scheme generation across Intel CPU/GPU, NVIDIA GPU, and Habana Gaudi.
A fully on-device voice AI assistant for macOS Apple Silicon, integrating STT, LLM, TTS, VLM, RAG, and system control with zero cloud dependency.
An RL training environment building library for LLMs, providing complete infrastructure from development and testing to scaled rollout collection, with built-in RLVR scenarios and tool-calling support.
A modular Python toolkit developed by the University of Innsbruck that integrates information retrieval, re-ranking, and RAG generation, featuring 40+ pre-processed datasets and single-line pipeline construction.
Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.
A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.
An end-to-side omnimodal LLM by Tsinghua THUNLP supporting vision, speech, and full-duplex multimodal live streaming, optimized for mobile deployment with performance rivaling Gemini 2.5 Flash.
Fully automatic censorship removal tool for language models using directional ablation with TPE parameter optimization to remove safety alignment while minimizing refusal behaviors and preserving original model capabilities. Supports dense, multimodal, and MoE architectures.
An open-sourced end-to-end VLM-based GUI Agent developed by Tsinghua University and Zhipu AI, built on GLM-4V-9B bilingual VLM, enabling cross-platform GUI automation and reasoning via screenshots and natural language instructions.
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