Qwen/Qwen3-235B-A22B-Instruct-2507 · Hugging Face
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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
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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
Topics
Related
GPU VRAM calculatorsLLM quantization guidesHugging Face SpacesModel size vs. performance trade‑offsAI hardware selection charts