Status — documented recipe (placeholder). A production-grade pipeline from
Ropedia Academy for an advanced, GPU-heavy task. Everything below — base model, objective, dataset, config, the exact evaluation — is specified; the
weights / metrics / figures land here automatically when you run the notebook on a GPU (one click below). Try the trained models live in the
Ropedia demos Space.
No weights are published yet. After a GPU run, load the checkpoint/adapter the notebook saves (it also has a ready inference cell). Base model: Any LLM under test.
Not yet trained — no numbers to report. The pipeline is GPU-heavy (see the compute table); on free Colab use the demo-scale settings. This is an educational, reproducible recipe, not a tuned production release.
Code:
MIT (this repository). The
base model (
EleutherAI/lm-evaluation-harness) and
dataset are each under their own licenses — check the upstream source before redistribution.
1@misc{ropedia_academy,
2 title = {Ropedia Academy: an interactive course on embodied & spatial AI},
3 author = {Ropedia Academy},
4 year = {2026},
5 howpublished = {\url{https://chaoyue0307.github.io/ropedia-academy/}}
6}
