Back to the ticker

OpenBMB releases MiniCPM5-2B for local deployment

OpenBMB has released MiniCPM5-2B, published on Hugging Face and dated 7 September 2026 in the project changelog. The model card describes a dense Transformer “built for on-device, local deployment, and resource-constrained scenarios”, with 2,516,756,480 parameters of which 1,981,982,720 are non-embedding.

The architecture uses 42 layers with grouped-query attention at 16 query heads and 2 key-value heads, and supports a context length of 131,072 tokens. It is the second model in the MiniCPM5 series after MiniCPM5-1B, scaling the same recipe to a larger footprint.

OpenBMB reports an average score of 53.9 across its evaluation dimensions, including 69.1 on LiveCodeBench, 86.5 on AIME 2025 and 68.1 on NoLiMa. The release is licensed under Apache-2.0 and ships in BF16, GGUF, GPTQ 4-bit, MLX for Apple Silicon and LiteRT-LM for mobile, plus a DSpark draft model for speculative decoding.

  1. Apertus Mini distils an open-data 8B into 0.5B, 1.5B and 4B models
  2. Tencent open-sources a 440 MB offline translation model for phones
  3. Gemma 4 lands on the edge with Agent Skills in Google AI Edge Gallery