v1.6.2
MiniMax-AI/MiniMax-M2.1v1.6.2Aug 1, 2026by amirivojdan
Upgrading?
AI Summary
A maintenance release focused on enhancing security by updating word embedding models to NumPy's .npz format and improving code quality through toolchain upgrades.
Key Highlights
- Safer Word Embeddings: Models now use NumPy's .npz format with pickling disabled to prevent arbitrary code execution.
- Clearer Error Types: Passing unsupported input types now raises TypeError instead of ValueError.
- Code Quality: Upgraded development toolchain and cleaned up codebase issues.
New Features
- Improved word embedding security and loading mechanisms
- Stricter error handling for transforms and pipelines
Full Release Notes
# What's New in v1.6.2 This is a minor maintenance release focused on safer word embedding loading and internal code quality. ## Highlights * **Safer Word Embeddings** – word embedding models now ship in NumPy's `.npz` format and load with pickling disabled, removing arbitrary code execution risk at load time. Existing `.bin` models continue to load through a restricted unpickler. * **Clearer Error Types** – passing an unsupported input type to a transform, pipeline, or word cloud now raises `TypeError` instead of `ValueError`. * **Code Quality** – upgraded the development toolchain and cleaned up the issues it surfaced across the codebase.
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