RedHatAI/gemma-4-31B-it-NVFP4 · Hugging Face
NVFP4 variant of gemma-4-31B-it.
AI Utility Tool
Summary
The LLM Model VRAM Calculator is an interactive Hugging Face Space that estimates the GPU memory needed to load and run large language models based on model size, context length, quantization and selected hardware. Users input a few parameters and receive an immediate VRAM requirement breakdown.
Highlights
- Allows quick estimation of VRAM for any LLM given model parameters, context window and GPU choice
- Considers quantization options (FP16, INT8, etc.) that affect memory usage
- Presents a clear numeric output plus a visual breakdown of where VRAM is allocated
- Runs fully in the browser – no local installation required
- Openly hosted on Hugging Face Spaces, making it easy to share and fork
auto-generated
Context
Audience
Machine learning engineers, AI researchers and hobbyists who need to plan hardware requirements for fine‑tuning or serving large language models
DomainMachine Learning
Formatinteractive web tool
Accessfree online
Source Overview
The LLM Model VRAM Calculator estimates the VRAM required to run large language models by allowing users to input model size, context length, and GPU details.
The tool considers parameters such as model parameter count, quantization, and context size, which all significantly impact VRAM needs. It instantly outputs the calculated VRAM requirement for loading and potentially running the selected model configuration.
Topics
Related
GPU VRAM calculatorsLLM quantization guidesHugging Face SpacesModel size vs. performance trade‑offsAI hardware selection charts
