Gemma 4 12B IT GGUF Hugging Face GitHub Launch Blog Documentation License : Apache 2.0 Authors : Google DeepMind This repository contains static GGUF quantizations of the Gemma 4 12B Unified (Instruction Tuned) model. These files are optimized for local deployment on consumer hardware, particularly systems with constrained memory layouts or configurations relying heavily on CPU/RAM inference. [!NOTE] Unified Multimodal Architecture: The Gemma 4 12B model is completely encoder free. It projects raw image patches and audio waveforms directly into the LLM's embedding space through lightweight linear layers. To utilize image, video, or audio capabilities in llama.cpp or compatible UIs, you must load one of the provided mmproj (Multimodal Projector) files alongside the main LLM .gguf file. 📦 Available Files and Quantizations Below is a breakdown of the available GGUF files in this repository. For local environments with limited hardware configurations (e.g., 8GB RAM), the Q3 K M or Q4 K M variants are strongly recommended to ensure steady inference without triggering aggressive disk swapping. Filename Size Recommended Resource Allocation / Use Case : : : gemma 4 12b it Q3 K M.gguf 6.09…
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