This is an unquantized version of Google's Gemma 3 12B instruction-tuned (IT) model that has undergone Quantization-Aware Training (QAT). It includes a chat template supporting multimodal inputs and is designed for text generation and conversational tasks. The model is available on Hugging Face for integration with the Transformers library.
Gemma 3 12b It Qat Q4 0 Unquantized sits in PulseGate's Text generation category. It focuses on deploying a high-performance 12B parameter instruction-tuned model with reduced precision for efficiency. It is built as an open-source project for developers and researchers. The project is open source (Apache-2.0). Gemma 3 12b It Qat Q4 0 Unquantized is available on the web, the command line, and API.
Behind Gemma 3 12b It Qat Q4 0 Unquantized is Google, based in the United States, and it first shipped in 2018. Development happens publicly on GitHub with 36k stars and 1.9k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 19 similar projects. Among its 3 catalogued features are Instruction Tuning, Chat Template, and Multimodal Support.
Summary written by a language model from the project’s public pages.
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