To run Qwen3.5 locally Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. You can now also fine tune the model locally with Unsloth. Read our Qwen3.5 fine tuning guide here. Qwen3.5 4B [!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. Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency. Qwen3.5 Highlights Qwen3.5 features the following enhancement: Unified Vision Language Foundation : Early fusion training on multimodal tokens achieves cross generational parity with Qwen3 and outperforms Qwen3 VL models across reasoning, coding, agents, and visual understanding benchmarks. Efficient Hybrid Architecture : Gated Delta N…
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