The kai-os/Grug-12B model, a fine-tuned version of Google's Gemma-4-12B-it, has been released on Hugging Face. This model is designed for compact reasoning, aiming to shorten and condense reasoning traces while preserving essential information like constraints and decisions. It was trained using QLoRA and merged into the base model, with the goal of reducing reasoning token usage without sacrificing answer quality. The release includes instructions for using Grug-12B with various libraries and inference providers such as Transformers, vLLM, and SGLang, as well as options for Google Colab, Kaggle, and Docker. AI
IMPACT This model offers a new option for developers seeking more efficient reasoning capabilities in LLMs.
RANK_REASON Release of a fine-tuned open-source model with usage instructions. [lever_c_demoted from research: ic=1 ai=1.0]
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