update minimax-test-01 resource requirements

[yyzxw]

part of #44

[gemini-code-assist]

Summary of Changes

Hello @yyzxw, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the resource requirements for the minimax-text-01 model deployment. The changes involve increasing both the CPU allocation and the GPU count, likely to enhance the model's performance, stability, or capacity during operation. This is part of a larger effort tracked by issue #44.

Highlights

• Resource Allocation: The CPU allocation for the minimax-text-01 model deployment has been increased from 8 to 16.
• GPU Count Update: The number of GPUs for the minimax-text-01 model deployment has been increased from 8 to 14.

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[github-actions]

Model Metadata Validation Results

✅ All validations passed!

Changed files:

• models/minimax/minimax-text-01/metadata.yaml

Validation output:

✅ models/minimax/minimax-text-01/metadata.yaml - Valid


✅ models/minimax/minimax-text-01/metadata.yaml - Valid directory structure


✅ models/minimax/minimax-text-01/metadata.yaml - Valid Hugging Face source: MiniMaxAI/MiniMax-Text-01
✅ models/minimax/minimax-text-01/metadata.yaml - Valid ModelScope source: MiniMaxAI/MiniMax-Text-01

Please make sure all metadata files conform to the schema defined in docs/model.jsonschema.

[gemini-code-assist]

Code Review

This pull request updates the resource requirements for the minimax-text-01 model, increasing the CPU from 8 to 16 and the GPU count from 8 to 14. While this increase seems appropriate for the model's size, there's a critical oversight. The memory field has not been updated in line with the new gpuCount, creating an inconsistency that could lead to deployment failures. I've left a comment on the relevant change with a recommendation for a fix.

[gemini-code-assist]

There's an inconsistency in the resource requirements. The memory field on line 14 appears to be derived from gpuCount * perGPUMemoryGB. With the previous gpuCount of 8, memory was correctly set to 640 (8 * 80). Now that gpuCount is updated to 14, the memory field should be updated to 1120 (14 * 80) to reflect this change and ensure correct resource allocation.