- Provider
- nvidia
- Context window
- -
- Max output
- -
- Input price
- -
- Output price
- -
- License
- See model card
- Open weights
- Yes
Gemma 4 26B A4B NVFP4 is NVIDIA’s open-weight large language model, available through the Hugging Face platform. As an openly accessible model with modifiable weights, it provides researchers and developers with a base for text-based AI applications without proprietary restrictions. The 26B parameter scale suggests substantial capability, though exact performance characteristics are not documented in the available information. This model fits between fully closed proprietary systems and smaller open models, offering NVIDIA’s engineering to those who need customizable weights. Developers seeking to build upon or study an open, mid-scale LLM are the natural audience, particularly those already working within NVIDIA’s ecosystem or Hugging Face’s tooling. Organizations needing precise performance specifications or commercial terms should review the model card before committing to use.
Modality
Use cases
Pros & cons
Pros
- Open-weight design enables full model access and modification
- Hosted on Hugging Face for easy integration and deployment
- Backed by NVIDIA, suggesting robust engineering support
- Text modality allows for broad language-based task applicability
Cons
- Key specifications like context window and max output are not provided
- Pricing structure for usage is not specified
- No performance benchmarks or comparisons available in the given facts
- License terms require review of separate model card for details
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Compare Gemma 4 26B A4B NVFP4
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Gemma 4 26B A4B NVFP4