Qwen3.6-35B-A3B-DFlash is a distilled and optimized variant of the Qwen3 series that uses block diffusion and speculative decoding techniques to accelerate text generation. It is distributed as open weights on Hugging Face and can be used with the Transformers library or SGLang for local or self-hosted inference. The model is intended for developers seeking faster inference without sacrificing much quality from the base Qwen3.6 model.
In the Foundation models & chat space, Qwen3.6 35B A3B DFlash takes a focused approach. It focuses on running large language models with high latency and computational cost during inference. It is built as an open-source project for developers. Qwen3.6 35B A3B DFlash is open source under the MIT license. The product ships for the web, the command line, and API, and it can be self-hosted.
It is developed by Z Lab, and the product first shipped in 2026. Development happens publicly on GitHub with 5.5k stars and 10 commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include Text Generation, Speculative Decoding, and Block Diffusion. It exposes integrations via a public API.
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