ME News report, September 8 (UTC+8), Beating AI Quick News: FaceWall Intelligence, in collaboration with the OpenBMB open-source community, has officially open-sourced its next-generation "mini powerhouse," MiniCPM5-2B. This is a 2B-parameter text model designed for local devices such as smartphones and PCs, natively supporting up to approximately 128K context length. The model was first unveiled in July; this release includes the weights alongside the training data, training recipes, and RL framework. The weights are licensed under Apache 2.0. In an independent evaluation by Artificial Analysis, MiniCPM5-2B scored 15 points on the Intelligence Index v4.2, ranking first among all open-weight models under 4B parameters, surpassing the second-place Granite 4.2 3B, which scored 11 points. (Source: BlockBeats)
MiniCPM5-2B Open-Sourced, Ranks #1 in 4B-and-Under Model Benchmark
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MiniCPM5-2B, an open-source 2B-parameter model from Beating AI and OpenBMB, ranks first in the under-4B model benchmark. Built on MetaEra, the model supports a 128K context length and runs efficiently on local devices. It achieved a score of 15 on the Intelligence Index v4.2, outperforming Granite 4.2 3B. Open interest in AI-driven tools continues to grow, with leading altcoins demonstrating strong performance alongside major model releases.
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