Qwen3.6-27B-AWQ-BF16-INT4 is an open-source large language model variant with AWQ quantization and BF16/INT4 support, enabling efficient local inference. Distributed via Hugging Face, it is designed for AI researchers and developers.
In the Quantised & converted weights space, Qwen3.6 27B takes a focused approach. It focuses on providing efficient, open-source large language model inference with quantized weights for research and development. Qwen3.6 27B is an open-source project aimed at AI researchers and developers. Qwen3.6 27B is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.
Behind Qwen3.6 27B is cyankiwi, and it first shipped in 2023. Development happens publicly on GitHub with 29.7k stars and 3.5k commits in the last 90 days. PulseGate's similarity index places it among 7 comparable projects. Among its 5 catalogued features are large language model, AWQ quantization, and BF16/INT4 support.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do