This is a GGUF-quantized version of the Gemma-4 12B instruction-tuned (it) model, created by Unsloth using Quantization-Aware Training. It enables efficient local execution of a powerful 12B parameter model using tools such as llama.cpp. The model is intended for developers seeking high-performance open models that can run on standard hardware.
Gemma 4 12B It Qat sits in PulseGate's Foundation models & chat category. It focuses on running efficient, quantized versions of large instruction-tuned models on consumer hardware. Gemma 4 12B It Qat is an open-source project aimed at developers. The project is open source (Apache-2.0). Gemma 4 12B It Qat is available on the web, the command line, and API.
Unsloth builds and maintains Gemma 4 12B It Qat, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.7k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 3 catalogued features are Quantized GGUF format, instruction tuning, and Local LLM inference.
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