Gemma-4-31B-IT-NVFP4

Model Overview Description: Gemma 4 31B IT is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output. It is designed to deliver frontier-level performance for reasoning, agentic workflows, coding, and multimodal understanding on consumer GPUs and workstations, with a 256K-token context window and support for over 140 languages. The model uses a hybrid attention mechanism that interleaves local sliding-window and full global attention, with unified Keys and Values in global layers and Proportional RoPE (p-RoPE) to support long-context performance. The NVIDIA Gemma 4 31B IT NVFP4 model is quantized with NVIDIA Model Optimizer. This model is ready for commercial/non-commercial use. Third-Party Community Consideration This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA Gemma 4 31B IT Model Card License and Terms of Use: Apache License 2.0 | Gemma | Google AI for Developers Deployment Geography: Global Use Case: Use Case:** Designed for text generation, chatbots and conversational AI, text summarization, image data extraction, reasoning, coding, multimodal understanding, function calling, and research or educational use. Release Date: Hugging Face [04/02/2026] via [link] (https://huggingface.co/nvidia/Gemma-4-31B-IT-NVFP4) Model Architecture: Architecture Type:** Transformer Network Architecture:** Gemma 4 Number of model parameters:** 30.7B Vocabulary Size:** 262,144 Input: Input Type(s):** Text, Image, Video Input Format(s):** String, Red, Green, Blue (RGB), Video (MP4/WebM) Input Parameters:** One-Dimensional (1D), Two-Dimensional (2D), Three-Dimensional (3D) Other Properties Related to Input:** Supports variable image aspect ratios and resolutions, configurable visual token budgets of 70, 140, 280, 560, and 1120, and video inputs up to 60 seconds