27b-parameters

QwenMix-3.7 is a weight-interpolation merge of the Qwen3.6-27B and Qwen3.8-27B AI models, created using per-row norm preservation at t=0.5.

Tess-4-27B is a 27B reasoning model built on Qwen3.6-27B, post-trained on 64K-token long-context agentic traces with weight-scaled reasoning. It is designed for efficient, honest, and agentic task execution, available in open-source formats.

Community GGUF release of Qwen’s 27B hybrid-architecture model with 262k context, multimodal inputs, tool calling and "Thinking Preservation" for agentic coding.

Alibaba releases Qwen3.6-27B-FP8, a 27B FP8-quantized model with strong agentic coding and reasoning benchmarks, now available on Hugging Face.