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ModelMAI Code 1.1 Flash 本地版

MAI Code 1.1 Flash

A programming-optimized mixture-of-experts (MoE) code model released by Microsoft AI, with 137 billion total parameters and 6.8 billion active parameters, supporting local deployment and sandboxed tool calling.

Timeline (last 90 days)

Oct 15

Microsoft AI developed a local version of MAI Code 1.1 Flash, a Mixture-of-Experts (MoE) model optimized for programming.

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Oct 15

The local version of MAI Code 1.1 Flash has a total parameter count of 137 billion, activating only 6.8 billion parameters per inference.

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Oct 15

Even with quantization, the VRAM usage of a 137B model still far exceeds the VRAM limit of a single consumer-grade GPU, and multi-GPU splitting or CPU+GPU hybrid inference is often a necessary option.

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Oct 15

Running the model locally can eliminate compliance concerns about uploading code to cloud services, and can be combined with sandboxed tools to complete a closed loop of code generation, testing, and debugging.

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Oct 15

Reddit community members pointed out that even with quantization, the storage and loading costs of deploying 137B total parameters are still not low, and the official side has not yet given clear hardware requirements.

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