Alibaba Cloud's general-purpose AI models
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L'organizzazione QwenLM su GitHub è focalizzata sui modelli di AI generali di Alibaba Cloud. Con una varietà di repository pubblici, QwenLM utilizza linguaggi come Python, Jupyter Notebook e TypeScript. I progetti più noti includono Qwen3, un modello di linguaggio di grandi dimensioni, e qwen-code, un agente di codifica open-source.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
An open-source AI coding agent that lives in your terminal.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Qwen3.6 is the large language model series developed by Qwen team, Alibaba Group.
Qwen3-ASR is an open-source series of ASR models developed by the Qwen team at Alibaba Cloud, supporting stable multilingual speech/music/song recognition, language detection and timestamp prediction.
The official repo of Qwen2-Audio chat & pretrained large audio language model proposed by Alibaba Cloud.
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Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.
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A series of math-specific large language models of our Qwen2 series.
Official Python toolkit for the Qwen3-ASR API. Parallel high‑throughput calls, robust long‑audio transcription, multi‑sample‑rate support.
C++ implementation of Qwen-LM
The official repository of Qwen-VLA
high-performance linear attention kernel library built on TileLang
QwQ is the reasoning model series developed by Qwen team, Alibaba Cloud.
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
Qwen3Guard is a multilingual guardrail model series developed by the Qwen team at Alibaba Cloud.
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Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
A high-throughput and memory-efficient inference and serving engine for LLMs
A collection of practical examples and best practices for Qwen Code
MCP-based Computer Use service for Qwen Code and any AI agent — controls macOS, Linux, and Windows via accessibility APIs.
👑 Qwen Blog. Visit https://qwen.ai/research for the latest news.
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Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
[NeurIPS 2025 D&B Track] Evaluation Code Repo for Paper "PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts"
A high-throughput and memory-efficient inference and serving engine for LLMs
A documentation translation tool specifically designed for Qwen Code
WebWorld is a large-scale web world model that helps train web agents in a simulated browser, avoiding the latency and safety issues of the real web.
Open-source examples and guides for building with the Qwen. Browse a collection of snippets, advanced techniques and walkthroughs.
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A GitHub Action that integrates Qwen Code into your development workflow.
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QwenLM sviluppa modelli di intelligenza artificiale e agenti di codifica. I loro repository principali includono Qwen3, Qwen e qwen-code, che coprono un'ampia gamma di applicazioni di AI e programmazione.
QwenLM utilizza principalmente Python, Jupyter Notebook e TypeScript nei suoi progetti. Questi linguaggi supportano lo sviluppo di modelli di linguaggio e applicazioni di AI complesse.
Sì, tutti i repository di QwenLM sono pubblici su GitHub. Questo consente a sviluppatori e ricercatori di accedere ai loro progetti e contribuire allo sviluppo di tecnologie di intelligenza artificiale.
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