Qwen Releases Qwen3.8-27B Open-Weight Vision-Language Model
Qwen released the Qwen3.8-27B model weights and configuration files under the Apache 2.0 license in Hugging Face Transformers format. The 27B dense vision-language model handles images and video, supports flexible thinking controls, and natively offers a 262,144-token context that Qwen says can be extended to 1 million tokens. Its artifacts are compatible with Transformers, vLLM, SGLang, and TokenSpeed, while a hosted Qwen Cloud version is still described as coming soon.
Qwen3.8-27B combines open-weight deployment, native multimodal input, long-context support, and broad inference-framework compatibility in a compact 27B model.
Qwen/Qwen3.8-27B Image-Text-to-Text • 28B • Updated 4 days ago • 7.44M • • 19.5k
library_name: transformers license: apache-2.0 pipeline_tag: image-text-to-text
Qwen3.8-27B
[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc.
[!Tip] For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by Qwen Cloud. In particular, Qwen3.8-27B will be available as a hosted version with more production features, e.g., 1M context length by default, official built-in tools. For more information, please refer to the Qwen3.8-27B Overview. The service is coming soon. Stay tuned for updates.
#Qwen#Qwen3.8-27B#Hugging Face Transformers#vLLM#SGLang#TokenSpeed#Qwen Cloud