Qwen Releases Qwen3.8-Flash-Next Open-Weight Preview
Qwen published the post-trained weights and configuration files for Qwen3.8-Flash-Next, a 180B-parameter image-text-to-text model presented as an experimental preview of the architecture intended for Qwen4. The artifacts are listed as compatible with Hugging Face Transformers, vLLM, SGLang and TokenSpeed, while Qwen Cloud offers a managed API; Qwen says its hybrid attention, gated residual and n-gram embedding designs improve long-context efficiency and parameter scaling.
The release gives developers direct access to an open-weight preview of Qwen's next architecture, alongside broadly used inference frameworks and a managed Qwen API option.
Qwen/Qwen3.8-Flash-Next Image-Text-to-Text • 180B • Updated 4 days ago • 3.41M • • 6.9k
library_name: transformers license: other license_name: qwen-community-1.0 license_link: LICENSE pipeline_tag: image-text-to-text
Qwen3.8-Flash-Next
[!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-Flash is the official version based on Qwen3.8-Flash-Next with more production features, e.g., 1M context length by default, official built-in tools. For more information, please refer to the Qwen3.8-Flash Overview.
#Qwen#Qwen3.8-Flash-Next#Qwen3.8-Flash#Qwen4#Qwen Cloud#Hugging Face Transformers#vLLM#SGLang#TokenSpeed