Love this. 🙌 MiniCPM5-2B was built for exactly this: on-device, offline, download from Hugging Face and run.
2.5B, native 128K, hybrid Think / No-Think in one checkpoint.
First calling the puzzle impossible, then correcting itself and writing a working verifier is the kind of reasoning we want to see at this size.
Thanks for shipping it. @RunAnywhereAI
OpenBMB's MiniCPM5-2B runs offline on-device with 128K context
AISummary
OpenBMB's MiniCPM5-2B is a 2.5B-parameter model with native 128K context, offering hybrid Think and No-Think modes in one checkpoint. Users can download it from Hugging Face and run it fully offline on-device, as RunAnywhere demonstrated. In a demo, the model first called a puzzle impossible, then corrected itself and wrote a working verifier.
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@OpenBMB
2.5B model, offline, solving a puzzle it first called impossible. MiniCPM5 2B from @OpenBMB. 128K context, top open model under 4B when it landed. Searched Hugging Face inside the RunAnywhere app, downloaded, ran.
Source: OpenBMB · x.comPublished · added here