📰 A 1.56GB local model just took the #1# spot for open models under 4B on Artificial Analysis. Let's run it on ThumbLLM. OpenBMB released MiniCPM5-2B TODAY. Stats 👇 🧠 2.52B dense parameters 💾 Q4_K_M GGUF: just 1.56GB 📚 131K native context ⚖️ Apache 2.0 🦙 llama.cpp 🟢 Ollama 🖥️ LM Studio 🍎 MLX 🤖 Native tool calling + agent training Artificial Analysis Intelligence Index v4.2 ... 🥇 MiniCPM5-2B → 15 Qwen3.5-4B Reasoning → 14* Qwen3.5-9B Reasoning → 15* Granite 4.2 3B → 11 *Qwen scores are estimated by Artificial Analysis. So a 1.56GB Q4 GGUF is landing in the same AA Intelligence Index tier as Qwen3.5-9B. 🤖 GDPval-AA v2 Elo → 831 🏦 τ³-Banking → 21% ⚡ 19K output tokens/task vs 56K for Ling 3.0 Tiny OpenBMB even released the training data and an official DSpark speculative decoding model. No trustworthy local tok/s numbers yet. That is the benchmark I want next. 🔥 Let's run it on ThumbLLM! 🔗 HF /openbmb/MiniCPM5-2B