🌍 Multilingual evaluation meets on-device deployment with MiniCPM5-1B!
Developer @luispoveda93 explored MiniCPM5-1B across Spanish, Catalan, Basque, and Galician, evaluating its zero-shot capabilities on reasoning, NLI, paraphrase identification, QA, and translation tasks.
The model was also converted into an ~1.1GB INT8 LiteRT-LM model, bringing MiniCPM5-1B to offline inference across Android, iOS, desktop, and IoT devices.
✨ Highlights: 🧠 Zero-shot evaluation across 4 languages ⚡ INT8 quantization for a compact ~1.1GB model 📱 LiteRT-LM deployment for on-device inference 🌍 Exploring multilingual adaptation beyond high-resource languages
Now that MiniCPM5-2B is out, we’d love to see more developers explore what it can do across different languages, devices, and real-world workflows.
Built something with MiniCPM5-2B? Share your case with us! 🚀
🔗 Project: http://huggingface.co/luispoveda93/MiniCPM5-1B 🤗 MiniCPM5-1B: http://huggingface.co/openbmb/MiniCPM5-1B 🤗 MiniCPM5-2B: http://huggingface.co/openbmb/MiniCPM5-2B