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OpenBMB
@OpenBMB
OpenBMB (Open Lab for Big Model Base) aims to build foundation models and systems towards AGI. Connect with us:
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🚀MiniCPM5-2B hits #1# on @huggingface Trending! 🏆 Huge thanks to the community for the incredible support!💗 Ranked #1# among open-weight models under 4B parameters worldwide in the @ArtificialAnlys Intelligence Index. 🤖 Built for Agentic AI Tool calling, deep search, code generation, and more—bringing capable Agents to phones, PCs, and vehicles. 🧠 More than model weights We’re opening up training code, Agent SFT/RL data, UltraX, Meshy, and JustRL II, enabling deeper research and easier reproduction. 📱 Ready for the edge Day 0 support for Intel, AMD & Arm, plus mainstream inference and fine-tuning frameworks. Try the model here: 🤗 Hugging Face: 💻 GitHub:
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🚀 Meet MiniCPM5-2B, a 2B-parameter language model bringing high intelligence density to the edge, now open source! It ranks #1# among open-source models under 4B parameters on the @ArtificialAnlys Intelligence Index, with a score of 23. It also scores 20 on the Agentic Index, bringing an early form of general-purpose agent capability to the edge. Across 34 benchmarks, MiniCPM5-2B achieves an average score of 53.9, covering coding, math, long-context understanding, tool use, and agentic tasks. And this release goes beyond the model itself. We’re opening up the data, training recipes, and RL stack behind MiniCPM5-2B. 🤗 Hugging Face: 💻 GitHub: Modelscope: Web:
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🚀 MASSIVE upgrades for UltraData data stack! The tiered data management (L0-L4) framework has now fully battle-tested on MiniCPM5-1B and is ready for your models! No gatekeeping, just pure data power. What’s NEW in our latest release:👇 ✅ Ultra-FineWeb-L3 — 600B tokens (200B+ Chinese, 400B+ English) of high-density synthetic pre-training data, which expanded from Ultra-FineWeb via multi-style rewriting & QA generation, and has used in MiniCPM5-1B's decay stage. 🤗 ✅ UltraData-SFT-2605 — 15M+ post-training samples across math, code, knowledge & instruction following, with deep-thinking and non-thinking training styles, used in MiniCPM5-1B's SFT stage. 🤗
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