🛠 HoprLabs: A Python tool for prototyping AI training mathematics
HoprLabs has been released — a library for simulating the training parameters of AI models. It allows for the estimation of model size, VRAM consumption, memory requirements for activations and optimizers, as well as training time and token budgets before launching the actual process.
🌍 It enables companies and researchers to reduce costs by avoiding errors when planning computational resources.
👤 It is useful for ML engineers to pre-calculate whether a model will fit into available hardware.