Ever found yourself scratching your head over how much memory your AI model needs? Well, you're not alone! That's why we're excited to introduce TitanML's Memory Calculator - a nifty little tool for the Gen AI community.

Why should you care about memory calculation?

We all know memory is a big deal in self-hosted AI. Those new Llama and Mistral models? They can be memory hogs! Understanding your model's memory needs can save you from some serious headaches down the line.

So, why this tool?

Here's the thing - despite how crucial memory management is, there hasn't been an easy way for folks to estimate their model's memory needs. That's where TitanML's tool comes in. It's open-source, it's accessible, and it's here to make your life easier.

How does it work?

The tool's got two main tricks up its sleeve:

Standard Model Memory Calculation

This one's pretty straightforward. Just punch in your model parameters and precision (32-bit, 16-bit, etc), and boom! You've got your estimate.

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Calculator with Prefill Chunking

Working with a massive model? This mode's got your back. It factors in extra memory components like activations and memory per input.

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Wrapping up

TitanML's Model Memory Calculator is all about making your life easier. It helps you figure out if your model will play nice with your hardware before you invest time and resources. And the best part? It's open-source! So if you've got ideas on how to make it even better, jump in and contribute!

Ready to give it a whirl?

Why not check out the Model Memory Calculator today? And hey, if you're feeling generous, consider contributing to the project. Let's make Gen AI a bit more accessible for everyone!

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