Qwen

Alibaba Releases Qwen 3.8 27B with Native Vision and Dynamic Reasoning Controls

Alibaba's Qwen research team has released Qwen 3.8 27B, an open-weight multimodal foundation model released under the Apache 2.0 license. The model combines 27 billion parameters with native vision processing, a 262,144-token maximum context window, and configurable inference-time reasoning controls. Under standard 4-bit quantization (Q4_K_M), the model compresses to approximately 17GB on disk, allowing local execution on consumer hardware with 24GB of VRAM or Apple Silicon unified memory syste

Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things

Alibaba's Qwen research lab released Qwen 3.8 27B, a 27-billion-parameter Apache 2.0 licensed AI model available in 17GB GGUF format that can run on high-end consumer laptops. The model supports vision, long contexts, and tool calling. The over-thinking problem Qwen's documentation describes the model as defaulting to xhigh for reasoning effort—a setting designed for complex tasks demanding thorough analysis. In practice, this causes the model to use its full 262,144 token context on even mun

Alibaba's Qwen becomes the world's most-downloaded open AI model family