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MiniMax (official)· @MiniMax_AI · X·· 2026-06-16AI 评分38
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MiniMax 官方展示开源模型 M3 Q4(4-bit 量化版)本地运行能力:使用 MLX-VLM 部署在 Mac Studio M3 Ultra 上,模型读取驾照照片和扫描文档后,自动完成一份美国海关申报表。处理耗时约 31 秒,输入 1,847 tokens,输出 736 tokens。过程中模型流式输出推理链,并调用 write_field、mark、sign 三个工具,无需人工干预。

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Nice demo from @atomic_chat_hq:

M3 Q4 ran locally with MLX-VLM, and completed a US customs form entirely on a Mac Studio M3 Ultra.

引用atomic.chat@atomic_chat_hq
Open-weight MiniMax M3 filled out a US customs form from a driver's license photo For this test we deployed MiniMax M3 Q4 using MLX-VLM on a Mac Studio M3 Ultra 512GB RAM. The model was tasked with reading a scanned document and an ID card photo, then completing a declaration form Output: 736 tokens · Input: 1,847 tokens · Time: ~31s The model analyzed both inputs, streamed its reasoning, and then called three tools: write_field for text fields, mark for Yes/No checkboxes, and sign for the signature and date. It extracted the required information, mapped it to the correct fields and completed the form without any manual input
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来源:MiniMax (official) · x.com