MLLM-3

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Local AI Engine Ready

Select a model from the sidebar to train on your local corpus. MLLM-3 predicts text using statistical n-grams directly in your browser—no cloud required.

Engine Parameters

Temperature 0.8

Controls randomness in the n-gram prediction. Lower values make the engine more focused and deterministic; higher values make it more creative and less predictable.

Context Window (Tokens) 50

The maximum number of previous tokens the engine will remember and use to predict the next word. A larger window helps maintain context but may increase memory usage.