MiniCPM5-2B
Small enough for the device, built to act
MiniCPM5-2B launched on September 8, 2026 with 30 votes, #735 of 8,094 launches that month and more than 95% of that year's launches.
In plain words
MiniCPM5-2B is a 2-billion-parameter open-source language model from OpenBMB designed for on-device and local deployment. Built as a follow-up to MiniCPM5-1B, it performs at the top of its size class for coding, math, long-context understanding, and agent tasks, while remaining competitive with larger 4B models. The model is available under Apache 2.0 licensing with multiple format options including GGUF and MLX, making it suitable for resource-constrained environments.
written from the facts on this page · September 2026
From the sources
MiniCPM5-2B is OpenBMB's dense 2B follow-up to MiniCPM5-1B. It is built for on-device and local use, leads the 2B open-source class, and stays competitive with larger 4B models on coding, math, long context, and agent tasks. Apache 2.0 weights, GGUF, and MLX are up.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We are releasing MiniCPM5-2B , the second model in the MiniCPM5 series, following MiniCPM5-1B . It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA. 🏆 2B-class open-source SOTA : compared with strong open-source models of similar size, MiniCPM5-2B achieves SOTA performance within this comparison set. It remains competitive with 4B-class models overall, while showing its advantages over models of comparable size in coding, mathematics, long-context understanding, tool use, and agentic tasks. 📂 Open High-Quality Data : Alongside the model, we are releasing the…from huggingface.co
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