HoprLab is a CLI and research toolkit for simulating AI training math before spending time and money on model training.
The working MVP lives in hoprlab/. It estimates model size, activation memory, optimizer memory, approximate VRAM usage, training time, token budget, config risks, benchmark speed, and reliability.
Quick Start
cd hoprlab python3 -m venv .venv .venv/bin/pip install -e ".[dev]" .venv/bin/hoprlab estimate configs/example_transformer.yaml .venv/bin/hoprlab simulate configs/example_transformer.yaml .venv/bin/hoprlab benchmark .venv/bin/hoprlab test-reliability configs/example_transformer.yaml
Or use the root Makefile:
make setup
make test
make build
make reliabilityNative Backends
HoprLab includes optional native benchmark modules:
- Rust:
hoprlab/native/rust - C:
hoprlab/native/c
The Python CLI falls back gracefully when native backends are unavailable.
License
MIT