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Cutting edge on edge devices.

Alibaba

5 updates on Alibaba.

  1. Alibaba adds 0.8B and 2B sizes to Qwen3.5, with 262K context and a vision encoder

    Alibaba released Qwen3.5-0.8B and Qwen3.5-2B, dense vision-language models with a 262,144-token context, Apache 2.0 weights and 4-bit MNN builds.

  2. Alibaba releases GUI-Owl-1.5 agent models from 2B to 32B under MIT

    Tongyi Lab open-sourced six GUI agent checkpoints from 2B to 32B and reports 71.6 on AndroidWorld, with every benchmark run server-side, not on a phone.

  3. Alibaba gives Qwen3's 0.6B and 1.7B models a reasoning switch

    Qwen3-0.6B and Qwen3-1.7B carry the family's switch between a reasoning mode and a fast mode, with 32K context and Apache 2.0 weights.

  4. Alibaba MNN runs 4-bit LLMs on phone CPUs and GPUs, with a multimodal Android app

    MNN-LLM converts PyTorch checkpoints into a 4-bit MNN format for phones, and Alibaba reports prefill 8.6 times faster than llama.cpp on an Android CPU.

  5. Alibaba builds Qwen2's 0.5B and 1.5B sizes for phones, earphones and glasses

    Alibaba built Qwen2-0.5B and Qwen2-1.5B for smartphones, earphones and smart glasses, with 32K context and Apache 2.0 weights.