Qwen3.5 2B [!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. In light of its parameter scale, the intended use cases are prototyping, task specific fine tuning, and other research or development purposes. 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 Networks combined with sparse Mixture of Experts deliver high throughput infere…
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