Qwen/Qwen3.8-27B Model Card
What it is
This is the Hugging Face model card for Qwen3.8-27B, a 28 billion parameter multimodal Large Language Model (LLM) released by Qwen. It supports image-text-to-text tasks and provides instructions for integration with Transformers, vLLM, and SGLang, as well as Docker-based deployment options.
The problem it solves
Requires significant hardware resources (VRAM/compute) to run locally, but provides a standardized way to access Qwen's latest multimodal capabilities through popular orchestration tools.
What you could use it for
- Visual question answering using a local or cloud-hosted endpoint
- Serving multimodal chat interfaces via vLLM or SGLang
- Fine-tuning multimodal tasks using the Transformers library
Why it matters
Provides a high-capacity open-weight foundation model for multimodal applications, enabling developers to run advanced vision-language reasoning tasks with OpenAI-compatible APIs.
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.