Read our How to Run Qwen3.6 MTP Guide! See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. MTP enables ~1.5 2x faster inference with no accuracy loss. You can now run Qwen3.6 MTP GGUFs in Unsloth Studio Unsloth Studio auto sets the ideal MTP settings for your hardware (Mac, CPU, GPU): To run in llama.cpp: Set DGGML CUDA=OFF for CPU/Metal. np 1 and mmproj are not yet supported with MTP. 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. 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 experienc…
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