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Minicpm5-1B Released by Bounding Smart: Outperforms All Models Below 2B Parameters on AA-Index and Runs on Mobile and Browser

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Minicpm5-1B Released by Bounding Smart: Outperforms All Models Below 2B Parameters on AA-Index and Runs on Mobile and Browser

TL;DR · AI Summary

Bounding Smart has released and open-sourced the latest generation of edge-side text foundation model Minicpm5-1B. It outperformed all models below 2B parameters on the international benchmark AA-Index with a 1B parameter scale, an INT4 quantized weight size of only 0.5GB, and runs on mobile devices and browsers.

Key Takeaways

  • Minicpm5-1B outperformed all models below 2B parameters on AA-Index
  • Parameter reduction to half, better performance
  • Supports running on mobile and browser

Outline

Jump quickly between sections.

  1. Introduce the background and significance of the release of Minicpm5-1B.

  2. Detail the performance of Minicpm5-1B on the AA-Index.

  3. Explain the features of Minicpm5-1B including its parameter scale, quantized weight size, and runtime environment.

  4. Provide links for the open-source version of Minicpm5-1B.

Mindmap

See how the topics connect at a glance.

查看大纲文本(无障碍 / 无 JS 友好)
  • MiniCPM5-1B
    • 性能表现
      • AA-Index 表现优异
      • 参数量减少一半
    • 模型特点
      • 1B 参数规模
      • INT4 量化后权重 0.5GB
      • 手机和浏览器运行
    • 开源信息
      • HuggingFace
      • GitHub
      • ModelScope
      • GitCode
      • 魔乐社区

Highlights

Key sentences worth saving and sharing.

  • Minicpm5-1B outperformed all models below 2B parameters on AA-Index with a 1B parameter scale, an INT4 quantized weight size of only 0.5GB, and runs on mobile devices and browsers.

    Paragraph 2

    ⬇︎ 下载 PNG𝕏 分享到 X
  • The model's INT4 quantized weight size is only 0.5GB, enabling it to run on mobile devices and browsers.

    Paragraph 3

    ⬇︎ 下载 PNG𝕏 分享到 X
  • Minicpm5-1B is now fully open-sourced, including model weights, training datasets, and deployment plans.

    Paragraph 4

    ⬇︎ 下载 PNG𝕏 分享到 X
#Minicpm5-1B#AA-Index#Bounding Smart#OpenBMB#AI Training Framework
Open original article

FaceWall Intelligent Open-source MiniCPM5-1B: Surpasses All Models with Less Than 2B Parameters on AA-Index, Runs on Mobile and Browser

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Home>Intelligent Age>Artificial Intelligence

FaceWall Intelligent Open-source MiniCPM5-1B: Surpasses All Models with Less Than 2B Parameters on AA-Index, Runs on Mobile and Browser

May 26, 2026 1:13 PM Source: IT Home Author: Inqiang (Intern) Editor: Inqiang

Comments: 19

IT Home May 26, 2026 message, FaceWall Intelligent today jointly released and open-sourced the latest generation of edge-side text base model —— MiniCPM5-1B, in collaboration with Tsinghua University and the OpenBMB open-source community.

Image 11: FaceWall Intelligent Open-source MiniCPM5-1B: Surpasses All Models with Less Than 2B Parameters on AA-Index, Runs on Mobile and Browser

The official statement says that MiniCPM5-1B, with only a 1B parameter scale, surpassed all models with less than 2B parameters on the internationally renowned AA-Index (Artificial Analysis Intelligence Index); compared to Qwen3.5-2B published three months ago, MiniCPM5-1B not only has better performance but also reduces the number of parameters by half.

Image 12: FaceWall Intelligent Open-source MiniCPM5-1B: Surpasses All Models with Less Than 2B Parameters on AA-Index, Runs on Mobile and Browser

This model has a weight of only 0.5GB after INT4 quantization and can run on mobile devices and browsers. Its Base Model version was pre-trained using the AI training framework ForgeTrain developed independently by FaceWall Intelligent.

Image 13: FaceWall Intelligent Open-source MiniCPM5-1B: Surpasses All Models with Less Than 2B Parameters on AA-Index, Runs on Mobile and Browser

MiniCPM5-1B is now fully open-sourced, including model weights, training datasets, and deployment plans. IT Home provides relevant links as follows:

Advertising Declaration: The external hyperlinks (including but not limited to hyperlinks, QR codes, passwords, etc.) contained in this article are used to pass more information, save selection time, and results are for reference only. All articles on IT Home include this declaration.

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