Model reference · open weights
Gemma-4 is an open-weight language model from nvidia, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
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. <br 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 <br Network Architecture: Gemma 4<br Number of model parameters: 30.7B Vocabulary Size: 262,144 Input: Input Type(s): Text, Image, Video <br Input Format(s): String, Red, Green, Blue (RGB), Video (MP4/WebM) <br Input Parameters: One-Dimensional (1D), Two-Dimensional (2D), Three-Dimensional (3D)<br 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 at one frame per second. <br Input Context Length (ISL): 256K Output: Output Type(s): Text <br Output Format: String <br Output Parameters: 1D (One Dimensional): Sequences <br Other Properties Re
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | nvidia |
|---|---|
| Type | Language models |
| Parameters (lead) | 20.9B |
| Variants | 2 |
| Runs with | Model Optimizer |
| Based on | google/gemma-4-31B-it |
| Released | 2026-04-02 |
| Popularity | 2.1M downloads / month |
| Likes | 562 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys nvidia-gemma-4 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-gemma-4 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nvidia-gemma-4","messages":[{"role":"user","content":"Hello"}]}'
Details
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗