Key Features

Open-weight reasoning model family.
Multiple model-size options.
Tool-oriented task training.
Compact 19B-A3B variant.
Text and image task listings.
Documented 256K context.
BF16 and lower-precision releases.
GGUF local-runtime builds.

The reviewed 19B variant uses a mixture-of-experts design with about three billion active parameters per token. Its release includes BF16, FP8, NVFP4, and GGUF builds, with a documented 256K context and published estimates for fitting different quantizations on available hardware.


Groot is useful for teams testing self-hosted reasoning assistants while managing memory and response-token budgets. The official collection and individual model cards describe each checkpoint's task type, evaluation settings, and runtime examples, making it possible to choose a variant without treating every format as a separate product.

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