@AdinaYakup: This is new π @Alibaba_Qwen just released an open VLM foundation model for autonomous driving on @huggingface - 4B / Aβ¦
Summary
Alibaba Qwen has released an open-source 4B parameter vision-language model for autonomous driving on Hugging Face, featuring 3D detection, occupancy prediction, and BEV capabilities while preserving strong VL abilities.
View Cached Full Text
Cached at: 09/09/26, 09:45 AM
This is new π
@Alibaba_Qwen just released an open VLM foundation model for autonomous driving on @huggingface
- 4B / Apache 2.0
- 3D detection + occupancy + BEV, all in one
- Strong driving VQA while keeping VL abilities https://t.co/jgXJylGPU9
Similar Articles
@AdinaYakup: Open source summer party is not over yet https://huggingface.co/Qwen/Qwen3.8-27Bβ¦
Qwen3.8-27B, a compact 27B dense vision-language model with flexible thinking control and long-context support, is released as the most capable Qwen open model to date, available soon via Hugging Face and Qwen Cloud.
@julien_c: open source, wen?
Julien C asks about open-source release of Alibaba's Qwen3.7-Plus, a multimodal agent model unifying vision and language.
Qwen-Drive (GitHub Repo)
Qwen-Drive-1.0 is a vision-language foundation model for autonomous driving that integrates 3D perception, visual question answering, and motion planning in a unified framework, achieving strong performance on benchmarks.
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
Qwen-Drive-1.0 is a vision-language foundation model for autonomous driving that unifies 3D perception, visual question answering, and motion planning via shared representations and staged training.
@sgl_project: The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang: -β¦
Qwen3.8-27B, a 27B-parameter multimodal AI model from Alibaba, is now open source with day-0 support in SGLang, offering high inference speeds and superior performance in coding and office tasks.