ChatGLM, GLM-4.5, CogVLM, CodeGeeX, CogView, CogVideoX | CogDL, AMiner | Zhipu.ai (Z.ai)
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Z.ai는 GitHub에서 광범위한 공개 리포지토리를 운영하고 있습니다. 주로 Python, Jupyter Notebook, JavaScript, Java, TypeScript와 같은 프로그래밍 언어를 사용하며, ChatGLM, CodeGeeX, CogVideo 등 여러 주목할 만한 프로젝트를 포함하고 있습니다. 이러한 리포지토리는 인공지능 및 자연어 처리 분야의 연구와 개발에 중점을 두고 있습니다.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
CodeGeeX2: A More Powerful Multilingual Code Generation Model
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
GLM-OCR: Accurate × Fast × Comprehensive
a state-of-the-art-level open visual language model | 多模态预训练模型
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型
GLM-5: From Vibe Coding to Agentic Engineering
GLM-4-Voice | 端到端中英语音对话模型
CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
GPT4V-level open-source multi-modal model based on Llama3-8B
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
An open-sourced end-to-end VLM-based GUI Agent
CogView4, CogView3-Plus and CogView3(ECCV 2024)
GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS with Multi-Reward Reinforcement Learning
SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations (CVPR 2026 Findings)
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
GLM-Image: Auto-regressive for Dense-knowledge and High-fidelity Image Generation.
GLM-ASR-Nano: A robust, open-source speech recognition model with 1.5B parameters
Official implementation of Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer
Official skills for the GLM family of models.
[AAAI 2026] VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
Official Implementation of SCAIL-2: Unifying Controlled Character Animation with End-to-end In-Context Conditioning
A real-time streaming conversational video system that transforms text interactions into continuous, high-fidelity video responses using autoregressive diffusion.
The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
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Pose Extraction & Rendering for SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
Complex Function Calling Benchmark.
GLM Series Edge Models
[ICCV 2025] LVBench: An Extreme Long Video Understanding Benchmark
Kaleido: Open-sourced multi-subject reference video generation model, enabling controllable, high-fidelity video synthesis from multiple image references.
The official Python SDK for Z.ai's large model open interface, making it easier for developers to call Z.ai's open APIs.
Z.ai Coding Plugins Marketplace in Claude Code
Official code for MotionBench (CVPR 2025)
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official implementation of the paper "Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability".
Java SDK for Z.ai Open Platform
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Self-hosted AI workspace with shareable AI teammates, shared conversations, memory, and governed access to plugins, MCP tools, and local devices.
GLM-SIMPLE-EVALS: The evaluation repository for the GLM-4.5 series of models by Z.ai.
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zai-org는 인공지능 및 자연어 처리 관련 프로젝트를 개발하고 있습니다. 주요 리포지토리로는 ChatGLM, CodeGeeX, CogVideo 등이 있으며, 다국어 대화 모델 및 코드 생성 모델을 포함합니다.
zai-org는 주로 Python을 사용하며, Jupyter Notebook, JavaScript, Java, TypeScript와 같은 언어도 활용합니다. 이러한 언어들은 다양한 AI 모델 및 프레임워크 개발에 적합합니다.
네, zai-org의 리포지토리는 모두 공개되어 있습니다. 이를 통해 누구나 프로젝트에 접근하고 기여할 수 있으며, 인공지능 연구에 대한 투명성을 제공합니다.