Qwen3.5-27B-DFlash is a specialized version of the Qwen3.5 27B model that incorporates DFlash, block diffusion, and speculative decoding for improved efficiency. It supports text generation and feature extraction and is compatible with Transformers and SGLang. The model is designed for high-performance inference scenarios.
Qwen3.5 27B DFlash is a Foundation models & chat product. It focuses on achieving faster inference for large language models through advanced speculative decoding techniques. It is built as an open-source project for AI application developers. Qwen3.5 27B DFlash is open source under the MIT license. Qwen3.5 27B DFlash is available on the web, the command line, and API.
Z Lab builds and maintains Qwen3.5 27B DFlash, and the product first shipped in 2026. Development happens publicly on GitHub with 5.5k stars and 10 commits in the last 90 days. Key capabilities include Text Generation, Speculative Decoding, and Block Diffusion.
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