Miatz playground

Will It Fit?

Will that model actually fit your GPU's memory?

Coming to the Build-LabAIE-110Browser (JS)AI-Concept-Vizdev · data

The Demystify signature

Runs the actual arithmetic -- params times bytes-per-parameter plus KV-cache plus overhead -- as blocks the learner watches stack, myth-busting 'any laptop runs a large model' with their own hardware's number.

How it works

What goes in, what comes out

What it does

Learner picks a model size and a GPU (preset list with real VRAM figures, or a custom value), and a stacked fuel-gauge bar fills with parameters, KV-cache, and runtime overhead as literal layered blocks against the GPU's capacity line. Toggling the quantization level visibly shrinks the stack; pushing the concurrency slider past capacity shows the same GPU collapsing under N simultaneous users.

You bring

Dropdown selections and slider drags.

You get

A stacked VRAM bar vs GPU capacity, a fits/doesn't-fit verdict, and the concurrency point where throughput collapses.

You control

Model-size picker; quantization level (fp16/int8/int4); GPU VRAM (preset list + custom); context-length and concurrency sliders.

Where it's used

Lab inside AIE-110 (implements the platform's VRAM-as-calculation module directly); high-intent SEO lead magnet ('will X model run on Y GPU' is a real search pattern).

VRAM mathquantization (fp16/int8/int4)KV-cache overheadconcurrency collapse

Optional · watch & try

Go deeper, elsewhere

Hand-picked public explainers and open tools that complement this one — always optional, never required, never graded.

LLM Model VRAM Calculator (Hugging Face Space)Estimate GPU memory needed to fine-tune or run a given model at a given quantization What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINEDExplains the low-rank matrix trick that makes LoRA cheap LoRA for fine-tuning LLMs explained with exampleWorked example applying LoRA to an actual model LLM Fine Tuning Explained in 8 Minutes: LoRA, QLoRA, DPOFast comparison of fine-tuning method families · ~8 min Hugging Face PEFT — LoRA methodsOfficial reference implementation and guide for LoRA/PEFT fine-tuning

Concepts click when you open the machinery.

Three labs are already live and free — the same hands-on style this playground brings to its module.

Play the free labs Take the DSAT