What is gpu-memory-guard and how do I install it?

Tiny CLI/library to check if a GGUF model fits your GPU VRAM before loading. pip install gpu-memory-guard.

How to use gpu-memory-guard with llama.cpp?

gpu-guard --model-size 8 --buffer 2 && ./main -m model.gguf -n 256. Exits early if no fit.

Basic version uses buffer for it; advanced estimator (upcoming) calculates precisely from context/layers.

Picture this: 21GB free VRAM, a tidy 7.5GB model. Boom — CUDA out of memory. Here's the brutal truth and the tiny tool that stops the madness.

theAIcatchup Apr 09, 2026 3 min read

nvidia-smi shows snapshots, not future needs — factor in KV cache, overheads, and buffers. 𝕏
gpu-memory-guard prevents OOM crashes by pre-checking VRAM fit, chainable with inference commands. 𝕏
Local AI thrives with admission controls; without them, frustration kills adoption. 𝕏

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Community-driven. Code-first.

#GGUF models #GPU OOM #VRAM check #gpu-memory-guard

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Originally reported by Dev.to