# OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

> Source: <https://www.marktechpost.com/2026/09/07/openbmb-releases-minicpm5-2b-a-2-52b-dense-model-averaging-53-9-across-34-benchmarks-and-built-to-run-on-device/>
> Published: 2026-09-07 19:18:07+00:00

OpenBMB has released MiniCPM5-2B, a dense causal language model with 2,516,756,480 parameters and a native 131,072 token context. It averages 53.9 across the 34 benchmarks in its model card, ahead of Qwen3.5-4B at 51.1, with its clearest leads in tool use, coding agents and long-context retrieval. Post-training pairs 400B tokens of deep-thinking SFT with RL teachers and on-policy distillation that merges 16 expert models into one checkpoint. The weights ship under Apache 2.0 alongside the pre-training, SFT and RL datasets and the intermediate Base, Midtrain and SFT-only checkpoints. GGUF builds start at 1.56 GB, and the standard LlamaForCausalLM architecture loads in vLLM, SGLang, llama.cpp, Ollama and MLX without a model-code fork.

The post [OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device](https://www.marktechpost.com/2026/09/07/openbmb-releases-minicpm5-2b-a-2-52b-dense-model-averaging-53-9-across-34-benchmarks-and-built-to-run-on-device/) appeared first on [MarkTechPost](https://www.marktechpost.com).