MiniMax M2.5 MLX 6bit

MiniMax

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2026197K context≈ 147,456 words

M2.5 MLX runs lean and local — it's the version of MiniMax's M2.5 optimized for Apple Silicon via MLX, quantized to 6-bit to fit comfortably in memory without dramatic quality loss. It handles general text tasks with reasonable fluency, though the quantization means it trades some precision for accessibility. Think of it as the pragmatic colleague who shows up reliably on modest hardware.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Strong

Creative Writing

MiniMax M2.5 MLX 6bit

MiniMax

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2026197K context≈ 147,456 words

M2.5 MLX runs lean and local — it's the version of MiniMax's M2.5 optimized for Apple Silicon via MLX, quantized to 6-bit to fit comfortably in memory without dramatic quality loss. It handles general text tasks with reasonable fluency, though the quantization means it trades some precision for accessibility. Think of it as the pragmatic colleague who shows up reliably on modest hardware.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Strong

Creative Writing

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.Apple SiliconApple's custom-designed processors (like M1, M2, M3) optimized for running machine learning models on Mac computers.MLXA machine learning framework optimized for running models efficiently on Apple Silicon chips.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.QuantizedA technique that reduces a model's size and memory usage by storing weights with lower precision (fewer bits), trading some accuracy for efficiency.

Capabilities

Capabilities

Use Case Fit

Glossary