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10天前更新
7小时前更新
  • 01
    Tech Report GitHub Hugging Face ModelScope DISCORD Introduction We are excited to introduce Qwen3Guard, the first safety guardrail model in the Qwen family. Built upon the powerful Qwen3 foundation models and fine-tuned specifically for safQwen Team
  • 02
    QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image’s unique text renderQwen Team
  • 03
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD We are thrilled to release Qwen-Image, a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. To try the latest model, feel freeQwen Team
  • 04
    PAPER DISCORD Introduction Reinforcement Learning (RL) has emerged as a pivotal paradigm for scaling language models and enhancing their deep reasoning and problem-solving capabilities. To scale RL, the foremost prerequisite is maintainingQwen Team
  • 05
    DEMO API DISCORD Introduction Here we introduce the latest update of Qwen-MT (qwen-mt-turbo) via Qwen API. This update builds upon the powerful Qwen3, leveraging trillions multilingual and translation tokens to comprehensively enhance the mQwen Team
  • 06
    GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A3Qwen Team
  • 07
    API DISCORD Introduction Here we introduce the latest update of Qwen-TTS (qwen-tts-latest or qwen-tts-2025-05-22) through Qwen API . Trained on a large-scale dataset encompassing over millions of hours of speech, Qwen-TTS achieves human-levQwen Team
  • 08
    QWEN CHAT DISCORD Introduction The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing thQwen Team
  • 09
    GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundaQwen Team
  • 10
    QWEN CHAT GitHub Hugging Face ModelScope Kaggle DEMO DISCORD Introduction Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, achievesQwen Team
  • 11
    QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues. Today, we are officially releasing the first version of QVQ-Max, our visual reasoningQwen Team
  • 12
    QWEN CHAT HUGGING FACE MODELSCOPE DASHSCOPE GITHUB PAPER DEMO DISCORD We release Qwen2.5-Omni, the new flagship end-to-end multimodal model in the Qwen series. Designed for comprehensive multimodal perception, it seamlessly processes diversQwen Team
  • 13
    QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction At the end of January this year, we launched the Qwen2.5-VL series of models, which received widespread attention and positive feedback from the community. Building on the Qwen2.Qwen Team
  • 14
    QWEN CHAT Hugging Face ModelScope DEMO DISCORD Scaling Reinforcement Learning (RL) has the potential to enhance model performance beyond conventional pretraining and post-training methods. Recent studies have demonstrated that RL can signifQwen Team
  • 15
    QWEN CHAT DISCORD This is a blog created by QwQ-Max-Preview. We hope you enjoy it! Introduction <think> Okay, the user wants me to create a title and introduction for their blog announcing the release of QwQ-Max-Preview. Let me start by undQwen Team
  • 16
    QWEN CHAT API DEMO DISCORD It is widely recognized that continuously scaling both data size and model size can lead to significant improvements in model intelligence. However, the research and industry community has limited experience in efQwen Team
  • 17
    Tech Report HuggingFace ModelScope Qwen Chat HuggingFace Demo ModelScope Demo DISCORD Introduction Two months after upgrading Qwen2.5-Turbo to support context length up to one million tokens, we are back with the open-source Qwen2.5-1M modeQwen Team
  • 18
    QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen2.5-VL, the new flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL. To try the latest model, feel free to visit Qwen Chat and chooseQwen Team
  • 19
    GITHUB HUGGING FACE MODELSCOPE DISCORD Background The Mixture-of-Experts (MoEs) architecture has become a popular model-parameter-scale-up technique. Typically, one MoE layer consists of a router (often parameterized as one single Linear laQwen Team
  • 20
    GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction In recent years, Large Language Models (LLMs) have made remarkable advances in mathematical reasoning, yet they can make mistakes, such as miscalculations or logical errors, leading to wroQwen Team
  • 21
    GITHUB HUGGING FACE MODELSCOPE KAGGLE DEMO DISCORD Language and vision intertwine in the human mind, shaping how we perceive and understand the world around us. Our ability to reason is deeply rooted in both linguistic thought and visual meQwen Team
  • 22
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”. What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wadeQwen Team
  • 23
    API Documentation (Chinese) HuggingFace Demo ModelScope Demo Introduction After the release of Qwen2.5, we heard the community’s demand for processing longer contexts. In recent months, we have made many optimizations for the model capabiliQwen Team
  • 24
    GITHUB HUGGING FACE MODELSCOPE KAGGLE DEMO DISCORD Introduction Today, we are excited to open source the “Powerful”, “Diverse”, and “Practical” Qwen2.5-Coder series, dedicated to continuously promoting the development of Open CodeLLMs. PoweQwen Team
  • 25
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In the past three months since Qwen2’s release, numerous developers have built new models on the Qwen2 language models, providing us with valuable feedback. During this period, we havQwen Team
  • 26
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In this blog, we delve into the details of our latest Qwen2.5 series language models. We have developed a range of decoder-only dense models, with seven of them open-sourced, spanningQwen Team
  • 27
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In early April, we introduced CodeQwen1.5, which garnered significant attention from the community. Since then, we have been working to enhance the coding model. Today, we are excitedQwen Team
  • 28
    GITHUB HUGGING FACE MODELSCOPE DISCORD 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. Introduction A month ago, we released theQwen Team
  • 29
    DEMO GITHUB HUGGING FACE MODELSCOPE API DISCORD After a year’s relentless efforts, today we are thrilled to release Qwen2-VL! Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. ComparedQwen Team
  • 30
    DEMO PAPER GITHUB HUGGING FACE MODELSCOPE DISCORD To achieve the objective of building an AGI system, the model should be capable of understanding information from different modalities. Thanks to the rapid development of large language modeQwen Team
  • 31
    GITHUB HUGGING FACE MODELSCOPE DISCORD 🚨 This model mainly supports English. We will release bilingual (English and Chinese) math models soon. Introduction Over the past year, we have dedicated significant effort to researching and enhancinQwen Team
  • 32
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction After months of efforts, we are pleased to announce the evolution from Qwen1.5 to Qwen2. This time, we bring to you: Pretrained and instruction-tuned models of 5 sizes, including QwenQwen Team
  • 33
    We’ve created an agent using Qwen2 models with an 8k context size to understand documents with 1M tokens, surpassing RAG and native long-context models. This agent was also used to generate data for training new long-context Qwen models.Qwen Team
  • 34
    API DEMO DISCORD Previously, we opensourced a series of Qwen1.5 model ranging from 0.5 to 110 billion parameters. Now, we release a larger model, Qwen-Max-0428. Qwen-Max-0428 is an instruction-tuned model for chat service. Very recently, itQwen Team
  • 35
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Recently we have witnessed a burst of large-scale models with over 100 billion parameters in the opensource community. These models have demonstrated remarkable performance in both beQwen Team
  • 36
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction The advent of advanced programming tools, which harnesses the power of large language models (LLMs), has significantly enhanced programmer productivity and accuracy. Notwithstanding tQwen Team
  • 37
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction The open-source community has long sought a model that strikes an ideal balance between performance, efficiency, and memory footprint. Despite the emergence of cutting-edge models likQwen Team
  • 38
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Since the surge in interest sparked by Mixtral, research on mixture-of-expert (MoE) models has gained significant momentum. Both researchers and practitioners are keenly interested inQwen Team
  • 39
    GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In recent months, our focus has been on developing a “good” model while optimizing the developer experience. As we progress towards Qwen1.5, the next iteration in our Qwen series, thiQwen Team
  • 40
    Along with the rapid development of our large language model Qwen, we leveraged Qwen’s capabilities and unified multimodal pretraining to address the limitations of multimodal models in generalization, and we opensourced multimodal model QwQwen Team
  • 41
    4 months after our first release of Qwen-7B, which is the starting point of our opensource journey of large language models (LLM), we now provide an introduction to the Qwen series to give you a whole picture of our work as well as our objeQwen Team
  • 42
    Intro Generalist Models are hot! We all see an opportunity towards a real generalist model by multimodal multitask learning. We previously release an opensourced unified multimodal pretrained model OFA for this goal. However, we actually meQwen Team
  • 43
    CLIP1 is a phenomenal playmaker in vision and multimodal representation learning. It plays not only as a foundation model but also a bridge between vision and language. It has triggered a series of research in different fields, especially tQwen Team
  • 44
    2022 is a year of generalist models! With the bloom of multimodal pretraining, especially the unified model, we have witnessed the opportunity to building a generalist model that is capable of processing tasks of different modalities or mulQwen Team
6分钟前更新
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    版本:0.1.0 · Official Ruby client and workflow SDK for nabn (https://nabn.app/), enabling deterministic automation and cloud-native developer pipelines. · 许可证:MIT · 累计下载:124 · 当前版本下载:124nabn
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:129 · 当前版本下载:129TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:129 · 当前版本下载:129TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:125 · 当前版本下载:125TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:128 · 当前版本下载:128TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:125 · 当前版本下载:125TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:126 · 当前版本下载:126TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:126 · 当前版本下载:126TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:128 · 当前版本下载:128TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:126 · 当前版本下载:126TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:126 · 当前版本下载:126TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:124 · 当前版本下载:124TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:127 · 当前版本下载:127TitanCSA
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    版本:1.0.0 · Product native SDK operations through a UTF-8 JSON C ABI; driver installed separately. · 许可证:MIT · 累计下载:124 · 当前版本下载:124TitanCSA
28分钟前更新
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  • 01
    After launching its Dots AI agents platform earlier this year, OpenAI is launching a wallet for the agents. ChatGPT Wallet is rolling out starting today for ChatGPT Pro subscribers in the US aged 18 and older using a US billing address and "eligible US-issued American Express, Chase, Mastercard and Visa cards." After adding a card […]Stevie Bonifield
  • 02
    One part of the saga surrounding Nvidia CEO Jensen Huang ended on Thursday, when Huang resigned from his position at the top of AI's most important company. But in the coming weeks and months, a much bigger story may be about to unfold. A story about Nvidia's dealings in China, about the US government's willingness […]David Pierce
  • 03
    Normally, the products I test don't offer to help me write up my experience with them. Duet is different. Claude Duet is Anthropic's AI agent for consumers, the latest attempt by an AI company to try to convince us that agents can be useful for people who don't write code. It's been an interesting couple […]Allison Johnson
  • 04
    Usually, we'd be offering to answer your questions about a news event, but honestly we don't really have any answers about what the hell is going on over at Nvidia. I can't speak for Nilay but at the rate Jensen Huang's new mistresses are dropping, I am concerned we are approaching an affair Singularity. If […]Elizabeth Lopatto
  • 05
    Google says its new Gemini 4 Hydrogen model can give more helpful answers to complex questions, including "questions with multiple parts, hard-to-understand typos, or highly specific requests." The new model can break down your questions and address each part in its responses. It's available starting today in search, the Gemini app, all tiers of Google […]Stevie Bonifield
  • 06
    Armed with a team of AI agents, Google researcher Pietro Miotti claimed earlier this week to have discovered a potentially unmapped Maya site in Mexico. There was just one problem: The site had already been discovered and was published in an academic journal last year. The incident, which sparked criticism among archeologists online, underscores a […]Robert Hart
  • 07
    I had other things to do today, but Alex Karp's pathetic attempt to pivot back to the left gave me no choice but to put them on hold. Last week's elections were a bloodbath for the right, a problem for all the wannabe fash founders who had tied their political fortunes to a "vibe shift" […]Elizabeth Lopatto
  • 08
    I was certain, until the story of Jensen Huang's second affair hit, that Huang was bulletproof. After all, why wouldn't he be? He's placed himself indispensably at the center of the AI industry and famously had no succession plan at Nvidia. In fact, he's the only CEO Nvidia has ever had. L'état c'est moi. Then […]Elizabeth Lopatto
  • 09
    Shoppers using AI chatbots to research products or find places to buy items could be directed to imposters and other risky websites, a new study found. The study conducted by IP protection firm Podqi and shared exclusively with The Verge prompted ChatGPT, Gemini, and Perplexity with a handful of shopping-related questions involving a selection of […]Mia Sato
  • 10
    More video game developers are using generative AI tools in their jobs compared to last year, according to the GDC Festival of Gaming's latest annual industry survey. Forty percent of developers surveyed say they use it "as part of their job," an increase from 36 percent in 2025. Usage was higher with game developers that […]Jay Peters