@Alibaba_Qwen发布了Qwen3.8-27B，参数量小但性能出色，适合构建轻量级应用和智能体，值得尝试！
@Alibaba_Qwen的Qwen3.8-27B在Code Arena WebDev类别中排名第九，参数量27B，超越Qwen3.7-Plus，支持262K原生上下文，可扩展至1M。Qwen3.8-2.4T-A95B（Max级）的开放权重也已发布。
Exciting news: Qwen3.8-27B by @Alibaba_Qwen just landed in Code Arena: WebDev at #9 overall with 159...
Exciting news: Qwen3.8-27B by @Alibaba_Qwen just landed in Code Arena: WebDev at #9 overall with 1595 pts. It is the only model in its size class in the top 10, and also reshapes the Pareto Frontier! It is only 6 ranks behind the much larger Qwen3.8-Max. For scale: Gemma 4-31B which was released back in April sits at #80 . Congrats to @Alibaba_Qwen on the release! See thread for more highlights on Qwen3.8-27B. Qwen @Alibaba_Qwen We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M tokens via YaRN. - Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0. 🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently. Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now! Download, deploy, and build something we haven't imagined yet. 👀👇 - Hugging Fa huggingface.co/collections/Qw… YEVj - ModelSco modelscope.cn/collections/Qw… GkhC 🔗 View Quoted Tweet 💬 4 🔄 8 ❤️ 39 👀 3146 📊 8 ⚡