nvidia/Gemma-4-31B-IT-NVFP4
text-generation model by nvidia
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Model card & documentation
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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. 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 Apache…
Read the full model card ↗ · Preview checked 2026-10-29T17:08:32.609Z
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Model overview
nvidia/Gemma-4-31B-IT-NVFP4 is a text-generation model repository published by nvidia on Hugging Face. The source reports the Model Optimizer library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Model Optimizer
- Recent downloads (30 days)
- 1,032,158
- Cumulative likes
- 588
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 20,868,591,152
- Architecture
- Gemma4ForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-04-02T16:47:30.000Z
- Last modified
- 2026-07-13T22:33:54.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-31B-it
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.