Alibaba Cloud's general-purpose AI models
45
Repositórios públicos
183.272
Total de estrelas
17.380
Seguidores
A presença pública do QwenLM no GitHub é notable, com uma variedade de repositórios focados em modelos de inteligência artificial. As linguagens principais incluem Python, Jupyter Notebook e TypeScript, com projetos notáveis como Qwen3 e qwen-code, que demonstram a capacidade da equipe em desenvolver soluções avançadas para codificação e processamento de linguagem natural.
Principais linguagens
Repositórios públicos
Qwen3
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
qwen-code
An open-source AI coding agent that lives in your terminal.
Qwen
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Qwen3-VL
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Qwen3-Coder
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
Qwen-Agent
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Qwen3-TTS
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
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
Qwen-VL
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Qwen2.5-Omni
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
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
Qwen3.6 is the large language model series developed by Qwen team, Alibaba Group.
Qwen3-ASR
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.
Qwen2-Audio
The official repo of Qwen2-Audio chat & pretrained large audio language model proposed by Alibaba Cloud.
Qwen3-Embedding
Nenhuma descrição fornecida para este repositório.
Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
Qwen-Audio
The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.
Qwen3-VL-Embedding
Nenhuma descrição fornecida para este repositório.
Qwen2.5-Math
A series of math-specific large language models of our Qwen2 series.
Qwen3-ASR-Toolkit
Official Python toolkit for the Qwen3-ASR API. Parallel high‑throughput calls, robust long‑audio transcription, multi‑sample‑rate support.
qwen.cpp
C++ implementation of Qwen-LM
Qwen-VLA
The official repository of Qwen-VLA
FlashQLA
high-performance linear attention kernel library built on TileLang
QwQ
QwQ is the reasoning model series developed by Qwen team, Alibaba Cloud.
ParScale
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
Qwen3Guard
Qwen3Guard is a multilingual guardrail model series developed by the Qwen team at Alibaba Cloud.
AutoIF
Nenhuma descrição fornecida para este repositório.
ProcessBench
Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
vllm-gptq
A high-throughput and memory-efficient inference and serving engine for LLMs
qwen-code-examples
A collection of practical examples and best practices for Qwen Code
open-computer-use
MCP-based Computer Use service for Qwen Code and any AI agent — controls macOS, Linux, and Windows via accessibility APIs.
qwenlm.github.io
👑 Qwen Blog. Visit https://qwen.ai/research for the latest news.
Self-Lengthen
Nenhuma descrição fornecida para este repositório.
WorldPM
Nenhuma descrição fornecida para este repositório.
Qwen-Image-Bench
Nenhuma descrição fornecida para este repositório.
online_merging_optimizers
Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
CodeElo
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
PolyMath
[NeurIPS 2025 D&B Track] Evaluation Code Repo for Paper "PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts"
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
qwen-code-docs
A documentation translation tool specifically designed for Qwen Code
WebWorld
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.
Qwen-Cookbook
Open-source examples and guides for building with the Qwen. Browse a collection of snippets, advanced techniques and walkthroughs.
RationaleRM
Nenhuma descrição fornecida para este repositório.
qwen-code-action
A GitHub Action that integrates Qwen Code into your development workflow.
ConsisEval
Nenhuma descrição fornecida para este repositório.
Perguntas frequentes
O que o QwenLM constrói no GitHub?
O QwenLM desenvolve uma variedade de projetos relacionados a modelos de inteligência artificial, incluindo Qwen3, um modelo de linguagem de grande escala, e qwen-code, um agente de codificação open-source. Esses repositórios refletem seu foco em IA e automação.
Quais linguagens de programação o QwenLM utiliza?
O QwenLM utiliza principalmente Python, Jupyter Notebook e TypeScript em seus projetos. Essas linguagens são adequadas para o desenvolvimento de modelos de IA e análise de dados, que são centrais para o trabalho da organização.
Os repositórios do QwenLM são públicos?
Sim, todos os repositórios do QwenLM são públicos. Isso permite que a comunidade acesse, colabore e utilize suas ferramentas e modelos desenvolvidos, promovendo um ambiente de desenvolvimento aberto e colaborativo.
Essa exposição é intencional?
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