Model Detail
MiniMax-M2.7-ConfigI-MLX
—MiniMax-M2.7-ConfigI-MLX is a code generation model with 114.3B parameters released by thetom-ai. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under a other license.
MiniMax-M2.7-ConfigI-MLX ships with 114.3B parameters. Total weight footprint is approximately 228.7 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
MiniMax-M2.7-ConfigI-MLX is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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Discrete Diffusion Models are Minimax Optimal Under Sparsity
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