🚨 AI News | TestingCatalog@testingcatalog阿里巴巴在Hugging Face以Apache 2.0协议发布Qwen3.8-27B权重，该原生多模态稠密模型仅27B参数，整体性能超越Qwen3.7-Plus，在真实编码与办公场景表现突出。模型支持262K原生上下文，可通过YaRN扩展至1M tokens，基准测试表现与Opus 4.6相当。Qwen3.8-2.4T-A95B（Max级）权重也已同步开放。
Alibaba published Qwen3.8-27B weights on Huggingface under the Apache 2.0 license!
Qwen3.8-27B is a native multimodal dense model that you can run locally. 262K native context, extendable to 1M tokens via YaRN. As a 27B model, it performs on par with Opus 4.6 on benchmarks!
Local testing time 👀
来源：🚨 AI News | TestingCatalog · x.com
阿里巴巴在Hugging Face以Apache 2.0协议发布Qwen3.8-27B权重，该原生多模态稠密模型仅27B参数，整体性能超越Qwen3.7-Plus，在真实编码与办公场景表现突出。模型支持262K原生上下文，可通过YaRN扩展至1M tokens，基准测试表现与Opus 4.6相当。Qwen3.8-2.4T-A95B（Max级）权重也已同步开放。
Alibaba published Qwen3.8-27B weights on Huggingface under the Apache 2.0 license!
Qwen3.8-27B is a native multimodal dense model that you can run locally. 262K native context, extendable to 1M tokens via YaRN. As a 27B model, it performs on par with Opus 4.6 on benchmarks!
Local testing time 👀
来源：🚨 AI News | TestingCatalog· x.com