Qwen3.8-27B: Apache-2.0 vision-language weights
Qwen3.8-27B is a 27B image-and-video model on Hugging Face. Transformers weights, native context 262,144 tokens, Apache-2.0.
Key features
- Post-trained 27B weights in Hugging Face Transformers format
- Understands images and videos
- Native context length is 262,144 tokens
- Compatible with Transformers, vLLM, SGLang, and TokenSpeed
- Apache License 2.0, copyright 2026 Alibaba Cloud
- Category
- LLM APIs
- Who it's for
- Developers running the Qwen3.8-27B image-and-video weights.
- Tags
- modelmultimodalimage-video
- Website
- huggingface.co
- Listed
- 2026-10-28
Frequently asked questions
Is Qwen3.8-27B free?
Yes. Qwen3.8-27B is open source and free to use.
What is Qwen3.8-27B used for?
Qwen3.8-27B image-and-video weights on Hugging Face. 27B, Apache-2.0, 262,144-token context. Typical uses: post-trained 27B weights in Hugging Face Transformers format; understands images and videos; native context length is 262,144 tokens.
What are the best Qwen3.8-27B alternatives?
Alternatives in the same category include MiniCPM-V 4.7, Mistral, OpenRouter, Replicate, Workers AI.
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