Read our How to Run Qwen3.6 Guide! See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. NEW: Developer Role Support so Qwen3.6 can work in Codex, OpenCode and more! Qwen3.6 can now be run and fine tuned in Unsloth Studio . Read our guide . Tool calling improvements: Makes parsing nested objects to make tool calling succeed more. Example of Qwen3.6 (4 bit GGUF) running in Unsloth Studio with tool calling: Qwen3.6 35B A3B [!Note] This repository contains model weights and configuration files for the post trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. Following the February release of the Qwen3.5 series, we're pleased to share the first open weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. Qwen3.6 Highlights This release delivers substantial upgrades, particularly in Agentic Coding: the model now handles frontend workflows and repository level reasoning with greater fluency and precision. Thinking Preser…
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