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OpenBMB releases 2.52B MiniCPM5-2B for on-device AI

OpenBMB ships a 2.52B on-device model; Ling-3.0 Flash benchmarks show code-speed gains at a prose cost.

๐Ÿš€ RELEASES & LAUNCHES

  • OpenBMB releases 2.52B MiniCPM5-2B for on-device AI
    OpenBMB released MiniCPM5-2B, a 2.52B open model for local devices.
    • For users running AI on phones, laptops, and other resource-constrained hardware.
    • OpenBMB released the 2.52B-parameter dense model under Apache-2.0 with a 131,072-token context window.
    • Quantized builds start at 1.56 GB and support local runtimes including llama.cpp, Ollama, and LM Studio.
    • MiniCPM5-2B scored 15 on Artificial Analysis Intelligence Index v4.2, the highest score among open-weight models under 4B parameters.
    • OpenBMB reports a 53.9% benchmark average, including 97.1 on ฯ„2-Bench tool use and 68.1 on NoLiMa long-context evaluation.
    Sources ๐Ÿ“„ Source: huggingface.co ยท ๐Ÿ“Ž Coverage: ai-tldr.dev ยท ๐Ÿ‘ via r/LocalLLaMA

๐Ÿ”ฌ RESEARCH

  • ๐Ÿ“„ Source for Ling-3.0 Flash MTP test shows faster code, slower prose trade-offs โ€” github.com

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